Summary
Overview
Work History
Education
Skills
Accomplishments
Interests
Additional Information
Timeline
Venkat Bobbili

Venkat Bobbili

Cloud Data Architect (Azure, AWS, GCP, Snowflake) | AI/ML Practice Leader
UK GLOBAL TALENT VISA HOLDER | NO SPONSORSHIP REQUIRED,United Kingdom

Summary

Innovative Data Leader with over 18 years of expertise in data and analytics consulting, cloud technologies, and enterprise applications. Specializing in Finance, Insurance, Wealth, Healthcare, Telco, Public, Private, and Oil & Gas (LNG), I have excelled as a Multi-Cloud Data Architect. My achievements include significant milestones in AI-ML Gen AI technical architecture, data solutions, and leadership roles, serving as DataOps lead and AI/ML practice lead.

🌐 Cloud Ecosystem Mastery:
Spanning major cloud data ecosystems—Azure, AWS, GCP, and Snowflake, as well as on-premise Cloudera—I've excelled in diverse domains like cloud computing, edge computing, digital twin, big data, machine learning, artificial intelligence, BI & Data Analytics, data engineering, and data governance.

🛠️ Agile and SAFe Excellence:
Specializing in Agile and SAFe Methodologies, I bring a proven track record of successful project delivery in a multi-vendor environment. My expertise in Multi-Cloud environments, particularly in AI, ML, Gen AI, and Edge computing, reflects a dedication to innovation and extensive experience in large-scale system design.

💡 Leadership in Cloud Solutions:
Demonstrating leadership in Cloud Solutions, DevOps Engineering, Big Data, and Data Solutions, I've played a pivotal role in end-to-end Business & IT Cloud Migration, modernization, and transformation. As a Full Stack Architect, my genuine passion for coding shines through practical experiments, showcasing innovative solutions.

🌟 End-to-End Business & IT Transformation:
Successfully overseeing the design, development, and delivery of large-scale projects, I've led initiatives on data designs, standards, and patterns, ensuring alignment across Business, Data, Application, and Technology (BDAT) within the broader Enterprise Architecture.

🔧 Proven Project Management:
Proven ability to manage enterprise-level greenfield and brownfield data modernization projects. My leadership extends to technical and design discussions, facilitating enterprises in the rapid adoption of new technologies and practices.

💻 Coding Passion:
As a Full Stack Architect, my genuine passion for coding shines through practical experiments, showcasing innovative solutions.

NOTABLE ACHIEVEMENTS

🌐 Data Architecture Excellence:
Aligned data strategies with business objectives, implementing cutting-edge technologies (Data Fabric, Data Mesh, Data Lakes, Delta Lakes, Graph Databases, Vector Databases, Data Vault) across Azure, AWS, GCP, and Snowflake. Strengthened data reliability, establishing unified sources for enhanced decision-making with robust governance for risk mitigation and regulatory compliance.

🏗️ Crafting Solution Architecture Mastery:
Demonstrated expertise in crafting sophisticated solutions across big data, data warehousing, machine learning, and advanced analytics. Excelled in resilient ETL, ELT, and Streaming data pipelines, implementing comprehensive integration, security, and governance. Ensured seamless information flow with IAM, RBAC, and Encryption, adhering to regulatory compliances. Extensive experience in multidimensional data modeling and managing SCD types.

🚀 Driving Big Data Innovation:
Pioneered advancements in Digital Transformation Initiatives and cutting-edge technologies within big data. Led best practices in data governance, security, and engineering across sectors, impacting Microsoft, HSBC, FIS, Tech Mahindra, Bank of North Carolina, MUFG Bank, and more. Proactively advanced data excellence and fostered innovation throughout my career.

🧠 AI/ML Leadership and Innovation:
Showcased excellence in Big Data, Data Science, Advanced Analytics, Machine Learning, and AI. Prioritized large-scale data infrastructure, cloud architecture, and innovative data strategy alignment across public and private sectors.

🌍 Global Leadership and Team Direction:
Thrived in a fast-paced, collaborative, and team-based environment. Provided leadership for cross-functional teams globally, overseeing operations in 50+ countries. Fostered a digital culture across EMEA, APAC, and AMER regions.

AREAS OF SPECIALIZATION

INDUSTRY / DOMAIN

  • FINACIAL SERVICES - Core Banking, Investment/Insurance,Risk & Regulatory,Fraud & security,Consumer Finance,Cards & Payments,Digital & Mobile Banking,Wealth Management
  • HEALTHCARE SERVICES - Health Information System
  • OIL & GAS - Liquefied Natural Gas

TECHNICAL CONSULTING

  • Enterprise architecture, Solution architecture,Data Engineering & Data Management,Data architecture & MDM,Big Data Industrialisation,Data Governance & Security,Advanced Analytics,Machine Learning & Artificial Intelligence,Digital Transformation, and Digital Twin

MANAGEMENT

  • Agile methodologies & DataOps, MLOps, D&A OpsAIOps, and DevOps,Portfolio, Program & Project management, Stakeholder management,Infusing Design Assurance with Empathy in Design Thinking Processes,Processes in ITIL, Pre-sales consulting,Estimation and cost management, Budget & Contract management,Regulatory compliance, Configuration,CI/CD, and Release

To check my right to work in the United Kingdom,

  • Verify the job applicant's eligibility to work in the United Kingdom by accessing Check a job applicant's right to work and entering the shared code W7A 8HK 332 along with the Date of Birth 10th April 1971.
  • Holds a UK Global Talent Tier 1 Visa, indicating eligibility to work without sponsorship, valid until April 6, 2028, and possesses a valid work permit.

TECHNICAL REFERENCES

  • Technical references for the job applicant showcase a history of expertise and accomplishments, available upon request.

You can find more about my professional background and achievements on my LinkedIn profile:

https://www.linkedin.com/in/venkatbobbili-dataarchitect-aimlpracticeleader/

I can be reached via email at ai.bobbilithinks@gmail.com or by phone at +44 07756 596869. Currently, I am based in United Kingdom.

Overview

18
18
years of professional experience

Work History

Cloud Data & Solution Architect | AI/ML Head

Tech Mahindra
Sultanate of Oman
2019.09 - 2023.10

I accomplished significant milestones during my tenure at Oman LNG & Bank Muscat through impactful projects across various domains.

DnA CoE Establishment:
Established the Data & Analytics Center of Excellence (DnA CoE) to drive excellence in data-related initiatives. Led strategic planning and implementation, ensuring alignment with organisational goals and industry best practices. Orchestrated cross-functional collaboration across data analytics, digital transformation, and emerging technologies. Initiated innovative projects within the DnA CoE, such as Predictive Asset Analytics and Robotic Process Automation. Achieved business benefits including optimised decision-making, strategic alignment, enhanced collaboration, and innovative projects for operational efficiency.
Leadership in Digital Transformation:
Spearheaded the Digital Transformation Initiative, leading a comprehensive and strategic transformation journey. Implemented innovative technologies and data analytics solutions to enhance growth, operational efficiency, and customer experiences. Centralised data insights for informed decision-making and positioned at the forefront of industry standards. Achieved business benefits through enhanced growth, operational efficiency, and improved customer experiences.
Maestro AI-driven Process Optimization:
Leveraged Maestro's AI-driven process optimization to improve operational efficiency through intelligent analysis. Spearheaded the implementation of AI-driven Process Optimization, ensuring efficient workflow and predictive analytics. Achieved resource optimization, real-time monitoring, and continuous improvement through Maestro's AI-driven solution. Notable achievements include a 0.5% to 1.2% increase in production per process train and business benefits like cost savings and real-time decision-making.
Cloudera Data Platform Implementation:
Orchestrated the seamless deployment of Cloudera Data Platform (CDP), resulting in significant benefits. Implemented CDP for cost savings, operational efficiency, and enhanced predictive maintenance. Strengthened data governance and streamlined data sources through a centralised framework and Master Data Management (MDM). Leveraged Informatica for data quality and security, reinforcing comprehensive data governance strategies.
Predictive Asset Maintenance with Data Vault, Data Fabric, and Data Mesh:
Elevated operational excellence through the implementation of Predictive Asset Maintenance using Data Vault, Data Fabric, and Data Mesh architectures. Led the strategic implementation of custom architectures for efficient management of critical process data. Realised substantial operational enhancement, minimised downtime, and achieved cost savings through Predictive Asset Analytics. Ensured data security, scalability, proactive issue identification, and positive environmental impact through AI-driven optimizations.
Digital Twin Platform Advancement:
Implemented a comprehensive Digital Twin platform, enhancing operational efficiency through real-time monitoring and predictive maintenance. Integrated predictive maintenance features, enabling early detection of equipment issues and minimising downtime. Leveraged the Digital Twin platform for data-driven decision-making, optimising operational efficiency and resource utilisation.
Self-Service Analytics with Low Code/No Code:
Fostered a digital culture through the adoption of self-service analytics tools using a low code/no code approach. Implemented user-friendly analytics tools for non-technical users, accelerating application development and improving accessibility. Achieved cost-effective analytics solutions, empowering users for independent data extraction and promoting agility in decision-making.
Oracle Business Intelligence and Analytics Evolution:
Guided the deployment of Oracle BI Applications, streamlining data sources for real-time insights. Orchestrated the configuration of the Oracle Analytics Server to facilitate advanced analytics, fostering seamless integration and heightened accessibility. This transformative initiative bolsters informed decision-making and elevates overall organisational performance.
Bank Muscat's Azure Advantage: Transforming Banking Through Microsoft's Azure Cloud Ecosystem:
Bank Muscat's Azure Advantage signifies a transformative journey in banking operations through the strategic utilisation of the Microsoft Azure Ecosystem. The project focuses on harnessing the extensive capabilities of Azure to enhance the bank's infrastructure, incorporating its robust cloud services for improved scalability, security, and agility in managing data systems. By leveraging Azure's advanced analytics and machine learning features, Bank Muscat successfully gains valuable insights into customer behaviour, enabling the delivery of personalised financial services. The strategic integration of Microsoft Azure positions the bank at the forefront of technological advancement, ensuring a seamless and cutting-edge banking experience for its customers.
Data Excellence Triumph at Oman LNG & Bank Muscat:
In the domain of data management, both Oman LNG and Bank Muscat have achieved significant triumphs in their pursuit of excellence. These organisations have successfully elevated data governance, honed engineering processes, and improved overall data management practices. A notable advancement was made by implementing Master Data Management (MDM) through innovative data mesh and fabric architectures. Customised Data Engineering Pipelines were meticulously designed across diverse platforms, strategically optimising storage and compute layers. Additionally, both organisations have fine-tuned Data Lakes to cater specifically to machine learning applications, resulting in enhanced data governance, operational efficiency, and improved discoverability—all contributing to more informed decision-making processes.

ML Practice Leader | Enterprise Data Architect

Napier Healthcare
Hyderabad
01.2017 - 08.2019

Revolutionising Healthcare Data Management:
Innovative Data Architecture:

In developing an inventive data architecture, we meticulously crafted a robust database model for a healthcare company's Health Information System (HIS). Utilising advanced methodologies such as Data Fabric, Data Mesh, and Data Vault, our engineered solution seamlessly integrates both structured and unstructured health data, ensuring secure storage, retrieval, and real-time analysis for heightened operational efficiency.
Napier Healthcare's Azure-Enabled Progress: Elevating Patient Care through Cloud-Powered Solutions:
Napier Healthcare's initiative utilises the Microsoft Azure Ecosystem to provide scalable and flexible cloud-driven healthcare solutions. This strategic use of Azure's robust cloud infrastructure optimises data management, ensuring the secure storage, retrieval, and analysis of critical healthcare information, thereby enhancing patient care. Leveraging advanced analytics tools within Azure, Napier Healthcare gains valuable insights into healthcare trends, patient outcomes, and operational efficiency, empowering healthcare professionals with data-driven decision-making capabilities. The strategic integration with the Microsoft Azure Ecosystem places Napier Healthcare at the forefront of technological advancement, ensuring a future-ready platform adaptable to evolving healthcare needs and industry standards.
AWS-Enhanced Remote Patient Monitoring:
Revolutionised healthcare through AWS-powered Remote Patient Monitoring, we harnessed the AWS Data Ecosystem for data-driven decision-making. Employing Snowflake for advanced analytics, we focused on AWS Aurora DB and Lambda Functions to establish a cost-effective serverless architecture.
Napier Healthcare's AWS Redshift Assessment:
In evaluating its data landscape within AWS Redshift, Napier Healthcare meticulously examined schema nuances to formulate detailed data migration plans, ensuring a seamless transition and optimal utilisation of AWS Redshift capabilities. In executing a precision-focused data migration, the organisation extracted, transformed, and validated data to seamlessly align with the AWS Aurora DB schema.
Efficient Data Solutions with AWS:
With a strategic approach, we designed AWS Redshift and Aurora databases, optimising schema planning and scalability for efficient data solutions. Additionally, we seamlessly integrated a data lake with Amazon SageMaker, establishing a comprehensive machine learning pipeline. This strategic design ensures streamlined data management and enhances the overall efficiency of AWS-powered data solutions.Gathered, defined and refined requirements, led project design and oversaw implementation.

Sr. Data Architect & Data Scientist

Zenmonics
Hyderabad
01.2014 - 12.2016

I accomplished significant achievements during my tenure at Zenmonics India:
Banking Data Architecture: Engineered a scalable database for Bank of North Carolina, ensuring secure digital banking experiences by integrating customer data to meet modern demands.
#Azure-Driven Insurance Transformation: Led the implementation of Azure at Bank of North Carolina, revolutionising insurance processes. Transformed underwriting, claims, and risk assessment, thereby enhancing efficiency, accuracy, and customer satisfaction.
Predictive Analytics in US Banking: Spearheaded the deployment of predictive analytics at a US bank, optimising credit risk, reducing fraud, and improving customer satisfaction. This initiative drove operational efficiency and contributed to revenue growth.
ML Applications at FIS Bank: Deployed predictive analytics at FIS Bank, enhancing mobile banking products, including a Redesigned Mobile App, Biometric Authentication, and Mobile Wallet Integration. These improvements significantly enhanced customer experiences and operational efficiency.
Custom Data Architectures for Banking: Designed and implemented custom data architectures for the banking sector, resulting in improved data management and operational efficiency, ultimately enhancing the industry's effectiveness.
ServiceNow in IT Service Management: Revolutionised IT service management at FIS with tailored solutions on the ServiceNow platform. Optimised incident handling and automated workflows, aligning FIS with best practices and enhancing efficiency in IT operations.

Data Architect & Data Scientist

HSBC GLT
Hyderabad
03.2008 - 12.2013

I achieved significant milestones at HSBC Bank, India, through impactful projects spanning various domains.
Innovating Data Architectures for Operational Excellence:Pioneered the establishment of robust data architectures, focusing on contact centre, wealth management, and check truncation systems. These cutting-edge solutions optimised data storage, integration, and analysis, significantly enhancing operational efficiency and providing customers with an elevated experience. This achievement adhered to the highest standards of security, compliance, and high availability.
Leading-edge Predictive Analytics Solutions:Guided the development of a comprehensive predictive analytics framework covering critical domains like Credit Risk Assessment, Churn Prediction, Fraud Detection, and Customer Segmentation. Notably, led the creation of a Credit Card Fraud Detection System, improving fraud detection capabilities and realising substantial cost savings.
Collaborative Stakeholder Engagement and Cost-Efficient Solutions:Collaborated with HSBC Global Data Centers to introduce groundbreaking banking solutions for retail customers, resulting in increased satisfaction and notable cost savings. This involved effective communication of new features to banking operations teams, oversight of application performance, user acceptance testing, and training delivery, contributing to enhanced overall efficiency.
Strategic Database Performance Optimization:Played a pivotal role in strategically optimising the performance of diverse database servers, including SQL Server, Sybase, Oracle, and DB2. This effort involved fine-tuning database configurations, optimising queries, and implementing proactive monitoring strategies, ensuring the efficiency and responsiveness of data management systems.Designed internal process improvements to automate repetitive tasks, shortening data delivery times.

Sr. SQL DBA & DATABASE DEVELOPER

Ness Technologies
Hyderabad
07.2006 - 02.2008

SQL DBA & DATABASE DEVELOPER

Apar Technologies Pte Ltd
06.2005 - 06.2006

Education

Master of Science - Physics

Andhra University

MBA - Information Technology

Osmania University

Master of Technology (MTech) - Data Science Engineering

BITS Pilani

Skills

  • Big Data Ecosystems

AWS(Amazon Web Services), Microsoft Azure,GCP ( Google Cloud Platform) & Snowflake Hadoop Ecosystem (HDFS, MapReduce, Hive, Pig, HBase), Apache Spark, Kafka, Flink, Storm, Cassandra, Beam, Databricks, Amazon EMR, Google Cloud Dataprep, Microsoft Azure HDInsights, Snowflake, Splunk, Teradata, Elasticsearch, Tableau, QlikView, Google BigQuery, Google Cloud Dataflow

  • On-Prem Data Warehouses & Virtual Data Warehouses

Teradata, Oracle Exadata, IBM Db2 Warehouse, Microsoft SQL Server, Amazon RDS (Relational Database Service), Amazon DynamoDB,Amazon Aurora,Amazon Redshift, Amazon Neptune, Amazon ElastiCache,Amazon DocumentDB, SAP HANA, Amazon Redshift (on-premise version),Snowflake (on-premise edition), Greenplum, Netezza;Snowflake, Amazon Redshift, Google Big Query, Azure Synapse Analytics,Oracle Autonomous Data Warehouse,Databricks Delta Lake

  • Architectures

Enterprise/Business /Information /Application /Technology /Software /Cloud /Microservices /System /Solution /Data /Network /Security /Infrastructure/Integration

  • Bigdata Cutting-edge technologies

Data Fabric, Data Mesh, Data Lakes, Delta Lakes, Delta Lakehouse, One Lake, , Graph Databases, Vector Databases, Data Vault methodology

  • Architectures

Enterprise/Event-Driven /Target/Information/ Technology/ Microservices/Solution/Data/System/Data/Security/Infrastructure/Integration Architectures

  • Data Lakes

Amazon S3, Google Cloud Storage, Azure Data Lake Storage

  • Data Engineering

SQL SnowSQL Python, Dagster,Scala, ETL, ELT & Streaming Data pipelines, Data transformation, Data integration;ETL, ELT, and Streaming Data Pipelines (MATILLION, Apache Spark, AWS Glue, AWS Glue DQ, GCP Dataflow), Stream processing (Apache Kafka, AWS Kinesis, GCP Pub/Sub)

  • ETL, ELT & Streaming Data Pipelines

Informatica PowerCenter, IBM Infosphere DataStage, Microsoft SSIS, Oracle Data Integrator, Talend Data Integration;AWS Glue, Google Cloud Dataflow, Azure Data Factory, Snowflake, Matillion,Lambda architecture, Lambda functions, Lambda mappings

  • Data Management

Data cataloguing, Business Glossaries, Master data management, Data lineage, Data quality management ; AWS Glue Data Catalog, AWS Glue Data Quality, Azure Data Catalog, Google Cloud Data Catalog, Apache Atlas

  • Machine Learning

Python, Jupyter Notebooks, TensorFlow, PyTorch, Scikit-learn, Azure Machine Learning, Keras, Spark MLlib, Alteryx, Seeq, Cloudera Data Science Workbench,Oracle Analytics Server, RapidMiner, Azure Synapse, SageMaker, GCP AI Platform, Databricks, BigML, Snowflake, Alteryx, KNIME, Azure Databricks,GCP AutoML, Azure ML Studio, Amazon Forecast

  • Artificial Intelligence

TensorFlow, PyTorch, Azure Machine Learning, Amazon SageMaker, Google Cloud AI Platform, IBM Watson Studio, Databricks, Alteryx, Snowflake, RapidMiner, Cloudera Data Science Workbench, Azure Databricks, Google Cloud AutoML, Azure Machine Learning Studio, Azure Cognitive Services, Amazon AI Services, Amazon Forecast, AWS DeepLens

  • DataOps

Azure: Azure Data Factory,Azure Databricks,Azure Synapse Analytics,Azure Data Lake StorageAWS: AWS Glue, Amazon EMR,Amazon Redshift,Amazon S3 GCP: Cloud Dataflow, BigQuery,Cloud Dataprep,Cloud Storage Snowflake: Snowflake Data Warehouse,Snowflake Data Lake,Snowflake Data Sharing,Snowflake Data Exchange

  • ML Ops

Azure: Azure Machine Learning,Azure DevOps Services,Azure Kubernetes Service (AKS),Azure PipelinesAWS: Amazon SageMaker,AWS CodePipeline,AWS Step Functions,Amazon Elastic Kubernetes Service (EKS)GCP: Google Cloud AI Platform,Cloud Build,Kubeflow,Google Kubernetes Engine (GKE)Snowflake: Snowflake Data Science,Snowflake Data Marketplace,Snowflake Partner Connect,Snowflake Data Exchange-Tensorflow, TFX (TensorFlow Extended), Seldon, Metaflow (Python library), MLflow, Polyaxon, Databricks, Domino Splunk, Elastic

  • AIOps

Azure: Azure Machine Learning Operations (MLOps),Azure Monitor,Azure DevOps Services,Azure AutomationAWS: Amazon SageMaker MLOps,Amazon CloudWatch,AWS CodePipeline,AWS Step FunctionsGCP: Google Cloud AI Platform MLOps,Cloud Monitoring,Cloud Build,Cloud FunctionsSnowflake: Snowflake Data Science,Snowflake Data Marketplace,Snowflake Partner Connect,Snowflake Data Exchange

  • D&A Ops

Azure: Azure Data Factory,Azure Synapse Analytics,Azure Databricks,Azure Data Lake StorageAWS: AWS Glue,Amazon Redshift,Amazon EMR,Amazon S3 GCP: Cloud Dataflow,BigQuery,Cloud Dataprep,Cloud StorageSnowflake: Snowflake Data Warehouse,Snowflake Data Lake Integration,Snowflake Data Sharing,Snowflake Data Exchange

  • Dev Ops

Azure: Azure DevOps Services,Azure Artefacts,Azure Boards,Azure Test PlansAWS: AWS CodePipeline,AWS CodeBuild,AWS CodeCommit,AWS CodeDeployGCP: Cloud Build,Cloud Source Repositories,Cloud Deployment Manager,Cloud Monitoring and LoggingSnowflake: Snowflake Data Marketplace,Snowflake Partner Connect,Snowflake Data Exchange,Snowflake Data Cloud

  • Workflow Orchestration

Apache Airflow, Azure Data Factory, AWS Glue

  • Data Governance & Regulatory Compliance

Collibra,Informatica Axon,IBM InfoSphere Information Governance Catalog,Solidatus,Alation,Talend,Apache Atlas,SAS Data Governance,Erwin Data Intelligence Suite,Microsoft Azure Purview,Informatica Data Quality,AWS DQ; GDPR, CCPA, FCRA, HIPAA

  • Data Visualisation

Azure: Power BI,Azure Data Explorer,Azure SynapseAnalyticsAWS: Amazon QuickSight,Amazon Redshift GCP: Google Data Studio,BigQuery Snowflake: Snowsight Tableau, Spotfire, Qlik, looker, D3js, ggplot2

  • Data Modeling

Erwin Data Modeler, IBM InfoSphere Data Architect, Oracle SQL Developer Data Modeler, MS Visio, and Data Vault Modeling Methodology

  • Business Process Model and Notation BPMN & Computer Aided Facility Management CAFM

BPMN: Process Modelling,Business Process Analysis,Workflow Design,Process Automation,Collaboration and Communication,Standard Notation Conventions,Decision Modeling,Integration with BPM Tools CAFM: Space Planning and Management,Asset Tracking and Management,Preventive Maintenance,Work Order Management,Facility Condition Assessment,Real Estate Portfolio Management,Resource Scheduling,Energy Management

  • Version Control

Git, SVN, Github, Gitlab

  • ITIL Processes

Service Strategy,Service Design, Service Transition,Service Operation,Continual Service Improvement (CSI),Incident Management, Problem Management, Change Management, Configuration Management,Release Management,Service Desk,IT Financial Management

  • Project Management

Oversight of Project Scope, Project Schedule, Project Budget, Risk Management, Communication Plan, Quality Management, and Stakeholder Management

  • Waterfall Methodology

Sequential phases encompassing Requirements, Design, Implementation (Coding), Testing, Deployment, and Maintenance

  • Agile,Scrum, & SAFe

Agile:Iterative Development,Adaptive Planning,Collaboration,Continuous Improvement,Flexibility and Adaptability,Customer Feedback Integration,Time Management,Cross-functional Collaboration Scrum: Scrum Master,Sprint Planning,Daily Stand-ups,Sprint Review,Sprint Retrospective,Backlog Refinement,Burndown Charts,Scrum Artefacts (Product Backlog, Sprint Backlog) SAFe (Scaled Agile Framework):SAFe Principles,Agile Release Trains (ART),Lean-Agile Mindset,Program Increment (PI) Planning,Value Stream and Lean Portfolio Management,Inspect and Adapt Workshops,Release on Demand

  • Strategic Leadership

Visionary Thinking, Strategic Planning, Empathetic Decision-Making, Adaptability, Effective Communication, Influence and Persuasion, Collaborative Aptitude, Risk Management, Problem-Solving, Empowerment and Delegation, Change Leadership, Ethical Decision-Making, Results-Oriented Approach, Emotional Intelligence, and a Commitment to Continuous Learning

Accomplishments

  • Established the Data & Analytics Center of Excellence (DnA CoE) at Oman LNG, leading digital transformation initiatives such as Predictive Asset Analytics, Digital Twin, and Robotic Process Automation
  • Created an AI and ML-powered Data Platform at Oman LNG, enabling predictive analytics on critical equipment and saving $30 million annually
  • Implemented AI-based Process Optimization, resulting in a 0.5% to 1.2% increase in LNG production per process train and improved cost efficiencies.

Interests

As a growth-focused tech leader, I prioritize knowledge exchange to drive innovation

I firmly believe in the transformative power of knowledge sharing for shaping an innovative future

Additional Information

ACCOLADES

  • Awarded the Go See award in May 2022 for exceptional performance in implementing Oman LNG Asset Predictive Maintenance (PdM) plans.
  • Received the Tech Mahindra Most Viable Product Bigdata Platform Award in 2022 for outstanding contributions.
  • Honored as the Team of the Year by the CEO in August 2021 for exemplary teamwork and accomplishments.

PERSONAL PROJECTS

  • Led the digital transformation at Cloud Angles and provided mentorship to startups on business concepts and market strategies.
  • Improved the quality of higher education and offered technology and innovation mentorship to student groups at BITS Pilani, Andhra University, and Osmania University.
  • Mentored teams at DataValley.io on AI and ML advancements, fostering innovative solutions through up-to-date knowledge.

Timeline

Cloud Data & Solution Architect | AI/ML Head - Tech Mahindra
2019.09 - 2023.10
ML Practice Leader | Enterprise Data Architect - Napier Healthcare
01.2017 - 08.2019
Sr. Data Architect & Data Scientist - Zenmonics
01.2014 - 12.2016
Data Architect & Data Scientist - HSBC GLT
03.2008 - 12.2013
Sr. SQL DBA & DATABASE DEVELOPER - Ness Technologies
07.2006 - 02.2008
SQL DBA & DATABASE DEVELOPER - Apar Technologies Pte Ltd
06.2005 - 06.2006
Andhra University - Master of Science, Physics
Osmania University - MBA, Information Technology
BITS Pilani - Master of Technology (MTech), Data Science Engineering
Venkat BobbiliCloud Data Architect (Azure, AWS, GCP, Snowflake) | AI/ML Practice Leader