SHANTANU SHARMA
OPEN TO OPPORTUNITIES
Data Engineer
Cloud Data Engineer
Data Analyst
Data Engineer building reliable, scalable systems from complex data.
Cloud data engineering, analytics and automation using Python, SQL and GCP — processing millions of records daily and turning them into pipelines people trust.
Core Stack
Python
GCP
BigQuery
Dataflow
Airflow
dbt
Docker
PySpark
SQL
Snowflake
Python
ETL Pipeline
GCP Dataflow
BigQuery
Analytics
Dashboard
Experience
Engineering work with real-world data systems.
Project Engineer
Space VisionContract
Jan 2026 – Mar 2026
Remote
- Built an operations dashboard with RBAC and advanced filtering, streamlining workflows for 10+ cross-functional and client users.
- Developed a self-service portal integrating 4 production REST APIs, reducing manual customer data retrieval by 60%.
- Strengthened AWS EC2 security with a 3-role RBAC model, audit logging, and Tailscale for secure device-level access.
- Automated reporting workflows, reducing manual effort by 40% and turnaround time by 50%.
AWS EC2RBACREST APIsAutomation
Apr 2025 – Jan 2026 · Between roles
Data Engineer
Quantiphi AnalyticsFull-time
May 2024 – Apr 2025
Mumbai, Maharashtra, India
- Engineered Python and PySpark ETL pipelines on GCP Dataflow for a client-facing platform, processing over 5 million records daily.
- Optimized 20+ BigQuery tables using partitioning and clustering, improving query performance while reducing scan volume by 60–70%.
- Implemented automated data validation checks, reducing schema-related production incidents by 30%.
- Built CI/CD pipelines across 10+ repositories using GitHub Actions, reducing deployment effort by 50%.
- Investigated and resolved data quality issues across source tables supporting Looker dashboards and 30+ integrated data sources.
PythonPySparkGCP DataflowBigQueryGitHub ActionsLooker
Framework Engineer Intern
Quantiphi AnalyticsInternship
Aug 2023 – May 2024
Mumbai, Maharashtra, India
- Developed Python ETL scripts for BigQuery migration, reducing data ingestion time by 50%.
- Validated schemas and data quality across 5+ BigQuery tables, reducing migration errors by 30%.
- Built a scheduled utility for CSV conversion and deduplication, reducing manual processing by 40%.
PythonBigQueryETL
Tech Stack
Tools I use to make data useful.
Data Engineering
Programming
Cloud Platforms
DevOps & Tools
Analytics & Delivery
Selected Work
Projects that demonstrate how I work with data, analytics and AI.
Certifications
Associate Cloud Engineer
Google Cloud · 2024SnowPro Core
Snowflake · 2024Google AI Essentials Specialization
Coursera · 2026Education
M.Sc. Information Technology2023 – 2025
B.Sc. Information Technology2020 – 2023
Somaiya Vidyavihar University, Mumbai, Maharashtra, India
About
A Mumbai-based engineer connecting data systems to decisions.
I work across data engineering, cloud and analytics — bringing together Python and SQL workflows with GCP services to make complex data more reliable, usable and actionable.
Most recently I've been building pipelines that process millions of records daily, optimizing warehouse performance, and automating the validation checks that keep production data trustworthy.
5M+records processed daily
20+BigQuery tables optimized
10+CI/CD pipelines shipped
Mumbai, Maharashtra, IN
Available now
Get In Touch
Let's build what's next.
Open to Data Engineer, Cloud Data Engineer, Data Analyst and Analytics Engineer opportunities — in Mumbai, Pune, or remote.