Summary
Overview
Work history
Education
Skills
Certification
Key Projects
Timeline
BusinessAnalyst

Deepthi Saina

Manchester,UK

Summary

Data and AI Consultant with 14+ years of experience designing and implementing scalable Data & AI solutions across cloud and data platforms, including AWS, Databricks and Snowflake. Proven success in leading enterprise-grade data initiatives, including production-scale data platform design with lakehouse architecture, end-to-end data governance, GenAI innovation, and full-scale data migrations. Recognized for exceptional delivery ownership, cross-functional leadership, and strong alignment with customer goals.

Overview

14
14
years of professional experience
2012
2012
years of post-secondary education
1
1
Certification

Work history

Data & AI Architect

Amazon Web Services
Manchester, UK
08.2022 - 04.2025
  • Built advanced AI-driven systems, including a Retrieval-Augmented Generation (RAG) framework, a text-to-SQL framework, and a RAG evaluation framework utilizing prompt engineering to optimize AI responses and system interactions.
  • Configured vectorstore in OpenSearch and QDrant with enhanced metadata and configured filtering to enhance the query search for RAG agents.
  • Collaborated with cross-functional teams to translate business needs into technical specifications, developing a Self-Service Data Platform leveraging AWS services and DataHub.
  • Led the design and implementation of a Data Mesh platform, enhancing data accessibility, scalability, and governance across the organization.
  • Optimized data flows for major clients by employing AWS Glue, MWAA, AWS StepFunctions, and AWS Lambda, reducing data redundancy and improving system efficiency.
  • Built and optimized ETL processes using AWS Glue and DBT (Data Build Tool) to streamline data integration and transformation.
  • Designed and implemented data warehouses using Amazon Redshift and Snowflake, enhancing data storage, retrieval, and analysis capabilities for business intelligence and reporting purposes.
  • Designed a company-wide data platform on AWS, enhancing data accessibility for data consumers via AWS Lambda and AWS StepFunctions.
  • Led heterogeneous Oracle to Aurora migrations using DMS and SCT, incorporating schema conversion and validation.
  • Led strategic conversations with C-level and Head of Data and AI to shape AI-aligned data platform strategy.
  • Partnered with account teams in pre-sales engagements to assess client needs, present solution architecture, and shape early conversations into technical use cases.
  • Translated business goals into actionable architecture strategies and tailored demos using AWS, ISV Partnered solutions like Databricks, Snowflake and GenAI-powered solutions.
  • Guided clients through architecture design sessions and proof-of-concepts to establish technical viability and alignment with business outcome.

Snr Cloud Engineer

Amazon Web Services
Hyderabad, India
03.2020 - 08.2022
  • Developed and deployed Systems Manager Documents to troubleshoot and resolve AWS RDS network and infrastructure issues.
  • Authored technical tutorials and documentation to improve operational knowledge sharing and community engagement.
  • Applied advanced troubleshooting techniques to perform root cause analysis for complex incidents, ensuring minimal downtime.
  • Led and contributed to process improvement initiatives, streamlining internal SOPs and increasing operational efficiency.
  • Presented technical sessions at AWS Workshops, Immersion Days and internal events to upskill customers on cloud best practices.
  • Managed communications and coordination during critical events, leading postmortems and driving continuous improvements.

Technical Architect

Oracle Corporation
Hyderabad, India
09.2018 - 02.2020
  • Migrated Oracle 12c databases to 18c on OCI with minimal downtime.
  • Implemented GoldenGate replication and optimized patching strategies.
  • Designed OCI backup and DR strategies for production systems.
  • Upgraded WebLogic servers to improve system performance.

I.T. Analyst

Tata Consultancy Services (TCS)
Hyderabad, India
08.2015 - 08.2018
  • Managed Oracle/PostgreSQL environments, including patching and upgrades.
  • Optimized performance using SQLT, Autotrace, and Explain Plan.
  • Implemented Oracle RAC and Data Guard for HA and DR.
  • Built monitoring dashboards using OEM.

Lead Associate

Genpact
Hyderabad, India
07.2011 - 08.2015
  • Administered Oracle databases across production and UAT.
  • Managed RMAN strategies and log monitoring.
  • Configured Oracle Data Guard and automated backups.
  • Handled user management and access controls.

Education

Computer Science & Engineering -

Jawaharlal Nehru Technological University

Skills

  • Data Platform Architecture: Lakehouse Design, Data Modeling (Star Schema, Snowflake), Production-scale Data Pipelines, Data Catalogs, Data Quality, Lineage, Governance Frameworks, Metadata Management
  • Cloud & Platforms: AWS, Databricks, Oracle Cloud Infrastructure, Snowflake
  • Technologies: Apache Spark, Delta Lake, MLflow, ElasticSearch, DBT, Terraform, CDK
  • Languages: Python, PySpark, SQL, Shell
  • Data Engineering: ETL, Data Modeling, Scalable Pipeline Design, Metadata Curation, Lakehouse Architecture, Governance Automation, Lineage Tracking
  • GenAI Expertise: RAG, Text-to-SQL, Prompt Engineering, Vector Stores
  • Project Delivery: Agile, Cross-functional Collaboration, Customer Success, Solution Design

Certification

  • AWS Data Engineer Specialty
  • AWS Solutions Architect Associate
  • Oracle Cloud Infrastructure Associate
  • Certified Data Management Professional - Practitioner

Key Projects

  • Retrieval-Augmented Generation (RAG) Agent for PDFs: Built an LLM-powered system to scan and extract insights from scientific PDFs (publications, patents), enhancing document understanding using vector search and metadata extraction.
  • Text-to-SQL Framework: Developed an NLP-based agent to convert natural language queries into SQL across Athena and RDS sources using Bedrock and Qdrant.
  • Data Mesh Platform: Designed and delivered a distributed data ownership model with automated approvals and metadata-driven discovery to reduce time-to-insight from 12 weeks to 2-4 weeks.
  • Enterprise DataHub: Built a centralized metadata platform enabling data sharing without duplication. Enhanced governance and transparency across the data estate.


Timeline

Data & AI Architect

Amazon Web Services
08.2022 - 04.2025

Snr Cloud Engineer

Amazon Web Services
03.2020 - 08.2022

Technical Architect

Oracle Corporation
09.2018 - 02.2020

I.T. Analyst

Tata Consultancy Services (TCS)
08.2015 - 08.2018

Lead Associate

Genpact
07.2011 - 08.2015

Computer Science & Engineering -

Jawaharlal Nehru Technological University
Deepthi Saina