About
With 11+ years of experience in the data engineering space, I have built and optimized a wide variety of pipelines for some of the most recognized names in Fintech, Media, and Insurance, including AngelOne, Hotstar, and AXA Insurance Japan. My work is centered on solving high-stakes data challenges: Massive Throughput: Developed streaming architectures (Kafka/Spark) capable of processing 2TB/day to support near real-time business requirements. Diverse Pipelines: Proven track record in building and maintaining both complex batch workloads and high-frequency streaming systems across varied industries. Tech Stack Execution: Direct experience utilizing AWS Glue, Lambda, Airflow, and Databricks to solve infrastructure needs at scale. I bring a decade-plus of practical knowledge in navigating the data demands of large-scale enterprises, ensuring systems are built for heavy loads and high reliability. Moving forward, I am eager to apply this experience to new, complex data architecture challenges and high-impact projects that require designing scalable, future-proof systems from the ground up.
Work experience
Data Engineer 3 at Angel One, Mar 2024 - Present · 2 yrs 7 mos, Remote
Data Architect at Celebal Technologies, Nov 2022 - Mar 2024 · 1 yr 5 mos, Remote
Lead Data Engineer at Enquero, Sep 2021 - Nov 2022 · 1 yr 3 mos, Remote
Consultant at T-Systems ICT India Pvt. Ltd., Dec 2020 - Aug 2021 · 9 mos, Pune, Maharashtra, India
Big Data Developer at Amdocs, Jan 2017 - Dec 2020 · 4 yrs, Pune, Maharashtra, India, Hadoop Framework - Hive, Hbase, Kafka, Spark
