I'm looking for an opportunity where I can work with a modern cloud and lakehouse stack—specifically leveraging Databricks, PySpark, Delta Lake, Snowflake, and Azure or AWS. I thrive when building high-throughput batch and streaming pipelines and designing production-grade architectures that drive real business value.
chinar sakrikar
@chinarsakrikar
Data Engineer & Team Lead | Snowflake · AWS · Python | 4+ Yrs Turning Raw Data into Business Decisions
What I'm looking for
I’m a Data Engineer and Team Lead who lives at the intersection of complex technical execution and business strategy. Over the last 4+ years, I’ve specialized in building and optimizing scalable data ecosystems across AWS, Azure, and Snowflake. My goal isn't just to move data from point A to point B it’s to ensure that data is high-quality, lightning-fast, and doesn't break the bank.
In my recent roles, I’ve moved the needle by:
Accelerating pipeline performance by 30%, ensuring that business teams get the insights they need exactly when they need them.
Technically, I’m happiest when I’m working with Python, PySpark, Apache Spark, and Snowflake. As a Team Lead, I enjoy bridging the gap between stakeholder requirements and technical delivery, making sure my team is moving fast without sacrificing quality.
When I’m not diving into data lakes or prepping for my next sprint, you’ll likely find me training for my next Ironman triathlon a pursuit that requires the same level of endurance and precision I bring to my engineering projects.
What’s next: I’m currently looking for my next challenge as a Senior Data Engineer in Pune where I can lead high-impact migrations and architect-native cloud solutions.
Let's connect: If you’re looking for a lead who can optimize your data stack and lead a high-performing squad, feel free to reach out here on LinkedIn or via email at chinar.sak@gmail.com.
Experience
Work history, roles, and key accomplishments
Team lead
Emergys Solutions
Oct 2021 - Present (4 years 10 months)
Led end-to-end delivery for engineering and QA teams using Agile methodologies, resulting in on-time, high-quality production releases with zero critical post-release incidents.
Translated complex stakeholder requirements into technical sprint milestones, reducing project ambiguity and rework by an estimated 15%.
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chinar hasn't added their education
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