Pranay Bankar is a data engineering manager with 12+ years of experience building cost-efficient, resilient data platforms and leading high-performing teams across AWS and GCP ecosystems. He has a strong track record modernizing ETL/ELT and streaming pipelines (Spark, Kafka, Snowflake/Delta Lake) to accelerate analytics and ML, notably cutting batch latency from 6 hours to 20 minutes and saving ~₹2,000k/year in cloud costs. Pranay combines hands-on engineering—designing ANPR-driven automation, FastAPI services, and Spark-based manufacturing data flows—with people leadership, hiring and mentoring teams of up to 12 engineers. He routinely translates business KPIs into reliable data products and has reduced manual operations and customer support load through automation and clear documentation. Based in Nagpur and open to senior roles in Dubai MNCs, he brings a pragmatic cost-first mindset alongside a history of measurable operational impact.
5 years of coding experience
8 years of employment as a software developer
DIPLOMA; Diploma, Advance computing, DIPLOMA; Diploma, Advance computing at SunBeam Institute of Information Technology, Pune-Karad
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