Services
Video meeting . 10 mins
Video meeting . 10 mins
Video meeting . 10 mins
Digital Product
Data Analyst Interview Preparation
Data Analyst Interview Qs: Fin/Health/Mortgage/Retail/Ins.
Video meeting . 30 mins
Video meeting . 10 mins
Video meeting . 10 mins
Priority DM . 2 days reply
Digital Product
Data Analyst interview Prep
Data Analyst for FinTech
About me
I’m Mahesh, a Senior Data Engineer and Cloud/Data Architect with 13+ years building compliance-ready data platforms for large banks and fintechs. My focus: turning messy, multi-source data into governed, auditable, and cost-efficient analytics on AWS, Snowflake, and Databricks.
Core specializations:
AWS data lake/lakehouse (S3, Glue, EMR, Step Functions, Lambda, Lake Formation)
Snowflake medallion modeling, row-level security, and performance tuning
CTR/AML pipelines with automated data quality, lineage, and SLA monitoring
Ab Initio → PySpark migrations, CI/CD, Terraform/IaC, Kafka streaming
How I can help you:
Architecture & Migration Review – share your current diagram or repo; I’ll provide a step-by-step modernization plan with trade-offs and a 30/60/90-day roadmap.
ETL/Cost Tuning – identify bottlenecks (partitioning, parallelism, storage/layout), set lifecycle policies/tags, and target measurable SLA/cost goals.
Governance & Compliance – implement DQ/lineage checks, audit trails, and regulator-ready controls.
Career Coaching – resume/LinkedIn rewrite, mock interviews, and portfolio guidance for DE/DA roles.
What to bring: a short problem statement, a sample dataset/schema (optional), and your success metrics (SLA, cost, throughput). You’ll leave with concrete next steps, sample code/snippets, and templates you can reuse. Sessions available in English (Telugu on request).