Akash Mehta is a data engineering leader with over a decade of experience building scalable, high-availability data platforms and pipelines at major enterprises including Citi, JPMorgan Chase, Verizon, Nasdaq, and Capital One. He combines hands-on expertise in Spark, Kafka, Hive, Snowflake and cloud-native tooling with a track record of delivering customer-360 features, real-time ingestion, and cost-optimized Snowflake pipelines that materially improved data availability and developer velocity. Known for pragmatic architecture and team leadership, he has led teams to produce 1500+ customer features, cut pipeline development time by 35%, and reduced data latency for critical applications. An active practitioner who publishes open-source PySpark tools for CDC, profiling, and encryption, he blends production engineering rigor with data science sensibilities and a knack for operational automation. Based in the Dallas–Fort Worth area, he pairs an MS in Computer Science with a history of improving resilience and observability across distributed systems.
9 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Science, Master of Science (MS) Computer Science at The University of Texas at Dallas
Bachelor of Technology (BTech) Information Technology, Bachelor of Technology (BTech) Information Technology at Jaypee Institute of Information Technology
Contributions:2 PRs, 37 pushes, 6 branches in 2 years 1 month
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