Summary
Overview
Work history
Education
Skills
Timeline
Generic
Rajeswari Gummadi

Rajeswari Gummadi

United Kingdom

Summary

Experienced data professional with expertise in designing and implementing advanced data solutions using Azure Data Factory, Data Lake Gen2, and Databricks. Proficient in leveraging Power BI, PowerApps, and Power Automate to deliver impactful business insights and streamline workflows. Skilled in cloud platforms such as AWS (Lambda, S3 Buckets, Redshift) and Azure, with a strong command of databases including SQL Server, Oracle, Netezza, and AWS Redshift. Adept at utilising DevOps CI/CD pipelines with GitHub and ADO Repos to ensure seamless deployment processes. Demonstrates a comprehensive understanding of modern data architectures like Fabric Warehouse/Lake house and Gen2 CI/CD pipelines. Committed to driving innovation through advanced analytics and scalable data solutions while maintaining a focus on operational excellence.

Overview

15
15
years of professional experience

Work history

Product Analytics Engine/ Metrics Card

Infosys / BP
London, United Kingdom
10.2023 - Current
  • Mentored junior engineers on best practices in big-data handling, nurturing their professional growth along way.
  • Involved in requirements gathering & understanding and END to END design & Implementation
  • Created data model by integrating multiple source systems in Azure SQL Server and Red shift
  • Created custom roles in DB, designed Object level accesses
  • Involved in integration between Power Apps, Power automates, Data verse, ADF, BLOB, DB, S3 Buckets, Lambda, Redshift and finally to Power BI Dashboard
  • Involved in source data analysis and data mapping and identify gaps in requirements
  • Created multiple Power automate flows to fulfil requirements
  • Involved in performance tuning in different stages
  • Created end points for API requests to fetch data from other applications
  • Created parameters for Linked Services and data sets to automate API calls
  • Created multiple stored procedures to handle data as per requirements
  • Used ADF and DB CICD pipelines to deploy code in higher environments
  • Created Integrators to automate metrics process
  • Create Fabric warehouse, lake house and CI/CD data flow to ingest data into warehouse from multiple source system
  • Worked migration from Data marts to warehouse
  • Handled data quality issues in multiple ways.

Telemetry Monitoring & Adoption (TMA)

Infosys / BP
London, United Kingdom
09.2021 - 09.2023
  • Involved in integration between ADF, BLOB and Data Bricks.
  • Created connections using JDBC, ODBC and Mounting BLOB.
  • Involved in source data analysis and data mapping and identify gaps in requirements.
  • Created pipelines in Azure Data factory for ETL process and scheduled in different ways
  • Designed metadata-driven processing framework for Azure Data Factory
  • Used Azure Data Lake for Raw, Curated, and standardized layer
  • Involved in performance tuning in different stages
  • Created end points for API requests to fetch data from different applications
  • Created dimensional model to sync data from three different source systems
  • Used ADF and DB CICD pipelines to deploy code in higher environments
  • Handled data quality issues in multiple ways
  • Handled performance issues with Power BI dash board
  • Redesigned dash board to handle budget constraints using Fabric capacity
  • Attends regular calls with 5 users to onboard applications and solve data issues.
  • Increased40% of applications onboarding each year.

Azure Data Engineer / Dyson Ltd

Laksa Solutions Ltd
Bristol, United Kingdom
10.2020 - 07.2021
  • Led team training sessions on best practices in database management and maintenance, enhancing overall staff proficiency.
  • Created pipelines in Azure Data factory for ETL process and scheduled in different ways.
  • Designed metadata-driven processing framework for Azure Data Factory
  • Involved in creating indexes, Stored Procedures, user defined functions, common table expressions (CTEs) and Triggers.

Business Intelligence(BI) Developer

Cognizant
HYDERABAD, India
07.2017 - 07.2020
  • Translated business requirements into technical specifications to enhance inter-team communication.
  • Streamlined reporting functions, resulting in improved workflow efficiency.
  • Implemented new ETL procedures to ensure data accuracy and consistency.

Senior Software Developer

Accenture
Hyderabad, India
08.2011 - 06.2015
  • Creating Views and uploading View scripts in Serena and attaching them to appropriate CR
  • Designing and Enhancing Universe according to Business report requirements
  • Inserting Views, applying joins, solving loop problems and object errors
  • Applied security features of Business Objects like row level & object level security in universe.
  • Generated Reports using Universe as main Data provider, also used multiple Data Providers and synchronized them by linking common objects.
  • Reports were generated using Web Intelligence functionalities such as Drill Down, Master/detail, Prompts, Combined Queries, Conditional Formatting and Formulas
  • Extensively used Calculations, Variables, Breaks, Sections, Sorting, and Alerts for creating Business Objects reports
  • Used Import Wizard for Migrating reports and Universes between environments.
  • Involved with Client interaction during requirement clarifications.
  • Created VISIO diagrams for Universes.
  • Prepared Technical specification Documents for Universes and Reports
  • Preparing release notes for CRs
  • Helping to team members in critical issues
  • Updating status to Manager on daily and weekly basis

Software Developer

Saksoft
Chennai, India
08.2010 - 07.2011
  • Contributed to technical documentation, facilitating smoother project execution.
  • Actively involved in daily stand-up meetings contributing significantly towards agile methodology.
  • Managed version control of software releases, maintaining product integrity.
  • Conducted thorough testing of software components, ensuring optimal functionality.
  • Facilitated communication between team members ensuring smooth workflow.

Education

B-Tech - Computer Science and Information Technology

JNTU Hyderabad
India

Diploma of Higher Education - Computer Science and Engineering

Osmania University
Hyderabad

Skills

  • Azure Data Factory (ADF)
  • Data Lake Gen2, BLOB
  • Data Bricks, Python
  • Power BI
  • PowerApps, Power Automate, Data Verse
  • AWS Lambda, S3 Buckets, Red Shift, Athene, Event Bridge, Glue,
  • Fabric Tools
  • Databases SQL Server, Azure SQL, AWS Red Shift , Oracle, Netezza
  • Git / GitHub / ADO Repos / Devops CICD pipelines
  • Virtual Machines(VM)
  • Logic Apps
  • Fabric Warehouse / Lake house
  • Gen2 CI/CD pipelines
  • Informatica, Business Objects

Timeline

Product Analytics Engine/ Metrics Card

Infosys / BP
10.2023 - Current

Telemetry Monitoring & Adoption (TMA)

Infosys / BP
09.2021 - 09.2023

Azure Data Engineer / Dyson Ltd

Laksa Solutions Ltd
10.2020 - 07.2021

Business Intelligence(BI) Developer

Cognizant
07.2017 - 07.2020

Senior Software Developer

Accenture
08.2011 - 06.2015

Software Developer

Saksoft
08.2010 - 07.2011

B-Tech - Computer Science and Information Technology

JNTU Hyderabad

Diploma of Higher Education - Computer Science and Engineering

Osmania University
Rajeswari Gummadi