Alkesha Baikar is a Big Data Engineer with 9 years of industry experience and 4+ years focused on building scalable ETL pipelines, automating workflows, and applying ML to surface actionable insights. Currently at Bank of America, she’s driving POCs to generate synthetic test data and has built custom modules that streamline data generation for downstream applications. Skilled in PySpark, Airflow, Hive, Hadoop, Databricks and cloud platforms (Azure, GCP), she excels at tuning Spark jobs, designing data models, and improving processing reliability and performance. A meticulous collaborator who values clear documentation, she also explores computer vision side projects and stays current on cloud and AI trends. Her academic foundation—an MTech in Computer Software Engineering from VJTI with a 9.36 CPI—complements a pragmatic focus on turning raw, scattered data into reliable, usable datasets.
9 years of coding experience
Master of Technology - MTech, Computer Software Engineering, CPI 9.36, Master of Technology - MTech, Computer Software Engineering, CPI 9.36 at Veermata Jijabai Technological Institute (VJTI)
Contributions:71 commits, 1 PR, 64 pushes in 2 years 8 months
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