I turn Snowflake cost chaos into a calm, predictable bill — and make slow pipelines 8x faster. No drama, just results.

Most companies don’t realise they’re leaking 30–60% of their Snowflake credits every month. The bill just quietly climbs, dashboards get sluggish, and the data team is too busy to trace the waste.

That’s where I come in.

I’m Shailesh Chalke, a Snowflake Data Engineer who’s spent the last 13 years inside messy data environments — healthcare, finance, e‑commerce, logistics — and I’ve fixed them all. My focus now is Snowflake cost optimisation, high‑performance ELT, and large‑scale migrations that don’t break things.

Here’s a quick picture of the work I do:

• Cost Reduction — I dig into your warehouses, query patterns, and idle time. Then I right‑size, tune auto‑suspend, and build a Streamlit FinOps dashboard so you can watch the savings in real time. One client now banks an extra $100K+ per year — same workloads, just smarter config.

• Pipeline Performance — When a 6‑hour batch process kept a BFSI trading desk from hitting their morning risk window, I re‑architected it with dbt Core and Azure Data Factory on Snowflake. It finished in 45 minutes. That’s 8x faster, and the team stopped getting paged on weekends.

• Migration Without Panic — I’ve moved huge SQL Server and Oracle databases (2.4 TB, 5,000+ tables) into Snowflake with 99.999% accuracy. I don’t just lift‑and‑shift; I redesign so your costs drop from day one — usually by 40%. Everything is tested with 200+ validation checks before go‑live.

I code mostly in Python and SQL, live inside dbt and Snowflake every day, and speak fluent business with stakeholders. I treat every project like I’m spending my own money on cloud credits — because I’ve seen how fast they burn when nobody’s watching.

When I’m not wrangling data, you’ll find me cycling through the outskirts of Pune or experimenting with a new data tool just for fun. I believe the best engineers are the ones who keep learning and genuinely care about the outcome, not just the output.

If you want someone who’ll tell you straight what’s possible, save you money, and deliver a clean handover, let’s talk. I reply within a few hours.

Work Terms

Hours of operation:
I work in the Indian Standard Time zone (IST, UTC+5:30) but I’m comfortable overlapping with US, UK, and Australian business hours. I typically reply to messages within 2–3 hours during my working day. For critical issues, I’m reachable via the platform messenger outside regular hours if agreed beforehand.

Payment terms:
I prefer milestone‑based payments for fixed‑price projects — each milestone clearly defined and tied to a deliverable. For hourly work, I use the platform’s time tracker and bill weekly. I’m happy to discuss a project estimate upfront so there are no surprises. My minimum project engagement is $500, which reflects the typical scope of Snowflake work.

Communication style:
Clear, direct, and jargon‑free. I send short daily updates (or at intervals we agree on) so you always know where we stand. I’m comfortable on Slack, Zoom, or the platform chat. I don’t disappear after the project; I document everything and make sure your in‑house team can fly solo.

Availability:
I’m currently booking new projects. The best way to start is a 15‑minute call to scope your needs. Message me on Guru, and I’ll reply fast.