I build data pipelines that scale to 10TB/day — without breaking the bank.

I’m Amer Shaikh — a Big Data Engineer who turns chaotic, massive data streams into business‑ready insights. I design resilient, cost‑efficient pipelines and real‑time analytics that scale to terabytes per day.

Based in Mumbai and remote‑first, I help CTOs and product teams stabilize pipelines, cut cloud costs, and accelerate time‑to‑insight. Typical engagements include ETL redesigns, streaming platforms, and zero‑downtime warehouse migrations—each delivered with security, compliance readiness, and measurable outcomes (latency, cost, uptime).

Our Core Values

Results‑first: measurable latency, cost and uptime improvements

Transparent pricing and clear, honest estimates

Security & compliance by design (GDPR/HIPAA ready)

Continuous improvement: modern stacks, automation and observability

Client outcomes

★★★★★

“Amer rebuilt our Kafka-to-Spark pipeline in 3 weeks — cut latency from 12s to 800ms and saved us $42K/year in AWS costs.”

Rahul PatelCTO, Dreamcare Developers

★★★★★

“After an ETL redesign we reduced batch processing time by ~60% and cut recurring cloud spend — Amer’s approach balanced speed, reliability and cost.”

Sana RoyHead of Data, Fintech Co.

★★★★★

“The streaming platform maintained sub-100ms tail latency at peak — we processed millions of events per minute with reliable monitoring.”

Liam O’ConnorVP Engineering, AdTech

★★★★★

“Zero-downtime migration to Snowflake — no data loss, 50% lower query costs and a 70% reduction in runtime for our reporting stack.”

Maya SinghProduct Lead, RetailTech

Ready to fix your pipeline?

I design resilient, cost-efficient data platforms that turn terabytes of raw events into dependable insights. Book a short pipeline audit and I’ll surface quick wins, cost levers and a remediation plan you can act on in days—not months.

Book Audit

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From chaos to production-ready data

I’m Amer Shaikh — a Big Data Engineer based in Mumbai. I specialise in designing resilient ETL and streaming platforms (Spark, Kafka, Airflow) that scale to terabytes per day while cutting costs and latency. I partner with CTOs and product teams to deliver zero‑downtime migrations, 99.9% uptime pipelines and measurable outcomes—faster time‑to‑insight, lower cloud spend, and tighter compliance for sensitive data.