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Mithin Reddy Kondam

@mithinreddykondam

I build scalable, governed Azure Databricks lakehouses that improve pipeline performance, cost efficiency, and data reliability.

United States

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What I'm looking for

I'm looking to lead scalable, governed cloud data platforms where I can modernize ETL/ELT pipelines, improve performance and cost efficiency, and mentor engineers building reliable self-service data products.

At Publicis Sapient for Capital Group, I own a Databricks Lakehouse of more than 1,000 Delta Lake tables, supporting scalable enterprise investment workflows through medallion-pattern architecture.

I lead ETL/ELT modernization across Azure Data Factory, Databricks, DBT, Spark, SQL, and Python. My work has reduced average job runtime by 35%, platform expenses by 20%, and cross-team release conflicts by 90%.

I build governance and quality into data platforms using Unity Catalog, lineage, fine-grained access controls, and automated Python validation tooling. I’ve also mentored engineers through reusable data-product migrations and independent deployment practices.

Previously, I migrated legacy Cloudera Hadoop workloads to Databricks on Azure, reduced compute costs by 40%, and managed high-volume ingestion workflows. I also developed Python APIs and Django and Flask backend modules for enterprise dashboard applications.

Experience

Work history, roles, and key accomplishments

Senior Staff Data Engineer

Publicis Sapient

Experienced data engineer with expertise in designing and evolving scalable data architectures on Azure and Databricks, including medallion lakehouse patterns. Proven ability to lead complex ETL/ELT migrations and optimize distributed data pipelines using Spark, SQL, and Python.