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Gomadheeswari Mani

@gomadheeswarimani

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Azure Data Engineer specializing in scalable ETL, Databricks, and cloud data platform modernizations.

United States

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What I'm looking for

I am seeking a senior Azure data engineering role building end-to-end, scalable ETL and cloud data platforms, with emphasis on modernization, performance, and CI/CD.

I am an Azure Data Engineer with over 13 years in IT and 9+ years focused on Azure cloud services, building optimized, scalable ETL pipelines using Azure Data Factory, Data Lake, SQL Database, Synapse Analytics, and Databricks. I develop PySpark and SQL notebooks for large-scale data transformation, implement Delta Lake features, and use Unity Catalog for governed data access.

I have designed and deployed data warehouse models and Snowflake SnowPipe solutions, written advanced SQL and stored procedures, and implemented CI/CD with Azure DevOps to automate deployments. My experience spans migrations from on-premise mainframe and Oracle systems to Azure, with strong emphasis on performance optimization, security, and reusable pipeline parameterization.

I work effectively in Agile teams, contribute to end-to-end data solutions, and focus on delivering reliable analytics-ready datasets that empower business teams and reporting tools like Power BI.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Sumitomo Mitsui Banking Corporation

Jun 2024 - Present (1 year 6 months)

Designed and implemented Azure ETL pipelines ingesting SAP employee data into Azure SQL and Data Lake; developed Databricks PySpark notebooks and Delta Lake workflows to optimize incremental loads and improve query performance. Implemented CI/CD with Azure DevOps and parameterized ADF pipelines to standardize deployments and incremental processing.

Azure Data Factory Databricks Pyspark Delta Lake Azure SQL Database ADLS Azure DevOps REST APIs ETL

Azure Data Engineer

State Street Bank

Jun 2020 - May 2024 (3 years 11 months)

Led Azure migration and built scalable ADF and Databricks ETL pipelines to ingest mainframe/DB2 delimited files into ADLS and Azure SQL, performing encryption, cleansing, and transformations to support reporting and analytics. Tuned Databricks jobs and automated transformations using PySpark and stored procedures to improve performance and reliability.

Azure Data Factory Databricks Pyspark Python ADLS ETL Data Cleanse

Data Engineer

State Street Bank

Feb 2016 - May 2020 (4 years 3 months)

Built PySpark/Databricks data processing for Azure migration, created Delta tables and data warehouse models (star/snowflake), and optimized ADF pipelines to improve data quality and ETL performance. Developed reusable PySpark components and relational database objects to support reporting and analytics.

Databricks Pyspark Azure Data Factory ADLS Data Warehousing SQL ETL Schema Design Performance Tuning

ETL Tester

Wipro

May 2013 - Jun 2015 (2 years 1 month)

Executed complex SQL validations and tested ETL processes for a data warehousing solution, identifying data quality issues and performing functional, regression, and acceptance testing to ensure accurate data movement into the target warehouse.

SQL ETL Data Validation Data Modeling SSIS Regression Testing Test Planning

Mainframe Developer

Wipro

Jun 2011 - Apr 2013 (1 year 10 months)

Developed and maintained mainframe settlement processing applications using COBOL, JCL, CICS and PLI; analyzed business logic, resolved performance issues, and executed unit/integration testing to support production deployments.