Summary
Overview
Work History
Education
Skills
Timeline
Generic

G Madhan Mohan

Summary

Azure Data Engineer with 5+ years of experience building robust, end-to-end data pipelines using Azure Data Factory, Synapse, and Databricks. Proven track record of optimizing large-scale data workflows to support B.I. and M.L. initiatives. Skilled in SQL, Python, and data lake architecture.

Overview

5
5
years of professional experience

Work History

Senior Data Engineer

TCS
03.2022 - 04.2025

Project Name: TCS – Monogram Health Care.

Role: Senior Data Engineer.

Project Description:

The Monogram Health Data Ecosystem Modernization Project - MVP1 Platform is intended to modernize the existing Monogram Health platform by re-architecting it to provide end-to-end integration from data ingestion to data transformation, to data analytics, and full re-platforming.

Roles and responsibilities:

  • Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects.
  • Strong proficiency in Microsoft Azure cloud platform services (Azure Data Factory, Azure Data Bricks, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse Analytics).
  • Expertise in T-SQL, Dynamic SQL, Spark SQL, and the ability to write complex stored procedures.
  • Write complex stored procedures to support data transformation, and implement business validation logic.
  • Experience in writing notebooks in Azure Synapse/Databricks using Spark SQL or PySpark to process and analyze large volumes of data.
  • Develop and maintain robust data pipelines using Azure Data Factory, ensuring seamless data flow between systems.
  • Design and implement migration strategies with the Azure suite: Azure SQL Database, Azure Data Factory (ADF) V2, Azure Key Vault, Azure Blob Storage, and Delta Lake tables.
  • Created end-to-end data pipelines using ADF services to load data from on-prem to Azure SQL Server for data orchestration.
  • Implementation of Azure Cloud Components: Azure Data Factory, Azure Blob Storage, Azure SQL DB.
  • Implemented the email feature using Azure Logic Apps to get pipeline notifications.
  • Design and develop complex, large-scale data structures and pipelines to organize, collect, standardize, and visualize data to generate insights and address monitoring and support needs.
  • Ensuring data pipelines are observable, scalable, reliable, and secure, while improving data quality and integrity.
  • Providing technical design and coding assistance to the team to accomplish the project deliverables as planned.
  • Proven experience working with public healthcare datasets, and leveraging them to inform business strategy.
  • Perform query performance optimization, including indexing strategies, and tuning for large datasets.
  • Collaborated with other teams to understand their requirements and deliver solutions accordingly.

Data Engineer

TCS
12.2019 - 02.2022

Project Name: DATA-FMB-AMS Support.

Role: Data Engineer Developer.

Project Description:

  • Vitara is headquartered in the United States, with three global centers in Pittsburgh, Pennsylvania; Shanghai, China; and Hyderabad, India. They operate approximately 40 manufacturing facilities, which produce complex dosage forms, injectables, oral solid doses, and active pharmaceutical ingredients. And they maintain industry-leading pipelines.

Roles and responsibilities:

  • Develop, document, and revise system design procedures, test procedures, and quality standards.
  • Support Incident, Change, and Problem Management processes within the team.
  • Troubleshoot performance issues and outages diligently, and handle escalations.
  • Supporting the P2 tickets and working with other teams to close the incidents on time.
  • Take charge of troubleshooting calls, and manage expectations and application recovery.
  • Supporting business-critical integrations and high-frequency jobs. Resolving ongoing issues and bug fixes.
  • Viatris is headquartered in the United States, with three global centers in Pittsburgh, Pennsylvania; Shanghai, China; and Hyderabad, India. They operate approximately 40 manufacturing facilities, which produce complex dosage forms, injectables, oral solid doses, and active pharmaceutical ingredients. And they maintain industry-leading pipelines.

Education

B.com - Commerce

Yogi Vemana University
Kadapa
07-2013

Skills

    Azure Data Services: Azure Data Factory, Azure SQL Database, Azure Databricks, Azure Synapse Analytics, Azure Blob Storage, Azure Data Lake Storage, Azure Event Hubs

    Databases: SQL Server, MySQL, PostgreSQL, NoSQL (Cosmos DB, MongoDB)

    Data Warehousing: Data warehouse design and optimization, ETL processes

    ETL Tools: Azure Data Factory, SSIS, Databricks, Apache Spark

    Programming languages: Python, SQL

    Tools/Frameworks: Power BI, Git, Azure DevOps, and CI/CD pipelines

Timeline

Senior Data Engineer

TCS
03.2022 - 04.2025

Data Engineer

TCS
12.2019 - 02.2022

B.com - Commerce

Yogi Vemana University
G Madhan Mohan