---
title: "Sarvesh Pawaskar - Data Analyst in Pune Division | Tal"
description: "Meet Sarvesh Pawaskar, Data Engineer | Immediate Joiner | Azure · Microsoft Fabric · Databricks · PySpark | ETL Pipelines · Synapse Analytics · Delta Lake | Power BI | Open to Data Engineering & AI Roles based in Pune Division."
image: "https://tal.club/meet/sarvesh-pawaskar/share-image"
---

# Sarvesh Pawaskar on Tal

## Headline

Data Engineer \| Immediate Joiner \| Azure · Microsoft Fabric · Databricks · PySpark \| ETL Pipelines · Synapse Analytics · Delta Lake \| Power BI \| Open to Data Engineering & AI Roles

## About

I build data pipelines that actually survive production\. Most recently at DataPhi\-AI, I engineered a 58\-table end\-to\-end ETL system on Microsoft Fabric for a real estate client — architecting master pipelines with invoke patterns, cutting storage overhead by 35%, and building checkpoint\-based recovery mechanisms so pipelines resume from the last failed step instead of rerunning from scratch\. I work across the full data engineering stack: • Cloud infrastructure: Azure Synapse Analytics, Microsoft Fabric, Databricks • Pipeline orchestration: Apache Airflow, Azure Data Factory, PySpark • Data modelling & quality: Delta Lake, SQL, custom reconciliation scripts • Business intelligence: Power BI dashboards for real\-time KPI tracking What makes me different: I close the gap between data engineering and business outcomes\. I don't just ship tables — I make sure the right data reaches the right stakeholder, on time, every time\. I hold a PG Diploma in Big Data Analytics from Sunbeam Institute, and I'm actively available from 1 June 2026 — looking for my next role where I can build data systems at scale\. Available immediately from 1 June 2026\. Open to: Data Engineer · Analytics Engineer · Data Platform Engineer · BI Engineer\. DMs open\.

## Location

Pune Division

## Work experience

Data Analyst at MMJS DataPhi, Sep 2025 \- May 2026 · 9 mos, Pune Division, Maharashtra, India, • Architected a 58\-table master ETL pipeline on Microsoft Fabric for a real estate client, covering 2 source systems end\-to\-end — delivering analysis\-ready datasets that eliminated ad\-hoc manual reporting pulls for business stakeholders\. • Engineered a checkpoint\-based pipeline recovery system that resumes execution from the exact point of failure, eliminating full reruns across 58 tables and reducing pipeline SLA breach risk — shipped before last working day as a handover\-ready feature\. • Implemented VACUUM \+ OPTIMIZE maintenance pipeline on Delta Lake tables, achieving 35% reduction in storage costs and 28% improvement in query performance\. • Diagnosed and resolved a critical Azure Key Vault integration failure in Microsoft Fabric, restoring secure credential access and unblocking the team with zero data exposure\. • Designed and maintained 2 production Power BI dashboards for real\-time KPI tracking; served as the primary data contact, resolving stakeholder queries and preventing pipeline downtime\. • Extended an Apache Airflow\-based data monitoring pipeline with new observability columns and bug fixes, improving data visibility across the pipeline monitoring layer\. • Built custom data reconciliation and profiling scripts to validate consistency across all pipeline layers, improving data quality across bronze, silver, and gold layers\.

CAP Associate at Amazon, Jun 2024 \- Jan 2025 · 8 mos, Pune District, Maharashtra, India

Web development and Designing intern at INTERNSAVY, Apr 2023 \- May 2023 · 2 mos, Pune District, Maharashtra, India, • Built a real\-time weather application with live API integration \(OpenWeatherMap\), demonstrating early\-career ability to connect data sources to end\-user interfaces\. • Developed a task management web app in vanilla HTML/CSS/JS, shipped end\-to\-end within a 2\-month sprint window\.

Student Intern at VOIS, Aug 2022 \- Oct 2022 · 3 mos, • Led a 4\-person team to build a pothole detection system using AI/computer vision for drone\-mounted cameras, delivering an automated inspection report for government infrastructure use\. • Received structured mentorship in AI, Power BI, and Cloud Computing as part of the Tech University Engagement Innovation Marathon 2022\.

Machine Learning Intern at Knowledge Solutions India, Sep 2021 \- Nov 2021 · 3 mos, • Led a team of 4 to build an insurance cost predictor using Random Forest Regressor, delivering a working ML model as a capstone for a 6\-week Microsoft\-mentored program\. • Applied supervised learning algorithms \(RFR, SVM, KNN\) to structured tabular data — laying the statistical foundation for later data engineering work\.

## Education

Postgraduate Diploma, PG Diploma in Big Data Analytics, SunBeam Institute of Information Technology, Pune\-Karad

Bachelor of Engineering \- BE, Electrical, Electronics and Communications Engineering, JSPMs Jayawantrao Sawant College of Engineering, Handewadi Road, Hadapsar, Pune 28\.

[View the original profile](https://tal.club/meet/sarvesh-pawaskar)

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