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Open to workDesired start date: Flexible
Open To Work
Anuj Chavan
Data Engineer
Pune
Work Preference
Summary
Results-driven data engineer with over four years of experience at Deloitte, specializing in ETL processes, data analytics, and scalable solution development. Proficient in SQL, Python, and PySpark, consistently optimizing and delivering efficient data pipelines that enhance operational performance. Recognized as a three-time recipient of the Applause Award for commitment to high-quality results and innovative problem-solving. Expertise in transforming complex data into actionable insights empowers strategic decision-making and drives business success while adapting seamlessly to dynamic project requirements.
Overview
4
4
years of professional experience
3
3
Certifications
3
3
Languages
Work History
Data Engineer
Deloitte
05.2025 - Current
- Architected the Medallion transition for SAP and Centric data, specifically building the Silver and Gold layers to streamline enterprise-wide reporting.
- Modeled over 32 business objects within the Gold layer, creating scalable data models that serve as the 'single source of truth' for business intelligence.
- Migrated legacy architecture to modern big-data technologies, significantly improving query performance and system scalability, with zero downtime.
- Streamlined complex workflows by decomposing monolithic processes into manageable, modular components, reducing maintenance overhead.
- Managed and integrated diverse datasets from 25+ hospitals into a centralized analytics platform, ensuring 100% data integrity, and pipeline stability.
- Optimized ETL throughput by redesigning database structures and refining transformation logic for faster, more accurate data retrieval.
- Automated routine data validation and repetitive tasks using Python scripts, increasing team productivity, and reducing manual errors.
- Established robust monitoring and alerting to proactively detect system anomalies and resolve ETL bottlenecks before they impacted downstream researchers.
- Provided technical mentorship to junior team members, and evaluated emerging tools to ensure the project utilized data engineering best practices.
Analyst
Deloitte
01.2022 - 04.2025
- Marketing Utility Team - US Financial Services
- Developed customer segmentation rules for targeted marketing based on client needs.
- Presented insights to stakeholders and managed communications using technologies like SQL, Hive, Tableau, and Python.
- ETL and Analytics Team - Medical Research Foundation
- Managed data loads from over 20 universities and hospitals; onboarded new sites with ETL processes.
- Optimized data pipelines, reducing processing time by 30% with 99% uptime.
- Expanded existing pipelines to integrate new domains; collaborated with SQL, Shell, Pentaho, Tableau, Python, and JIRA.
Education
Bachelor of Engineering - Computer Science
Maharashtra Institute of Technology
Pune, Maharashtra, India01-2020
Skills
Programming: SQL, Python, PySpark, Shell Scripting
ETL and Data Tools: Pentaho, Informatica, Hive
Visualization Tools: Tableau, Excel
Data integration development
Data pipeline architecture
Data modeling
Data management expertise
Database migration expertise
Performance tuning
Data analysis
Database design
Certification
Applied Machine Learning: Algorithms – LinkedIn
Interests
Reading Books
Timeline
Data Engineer
Deloitte
05.2025 - Current
Analyst
Deloitte
01.2022 - 04.2025
Bachelor of Engineering - Computer Science
Maharashtra Institute of Technology
AWARDS AND RECOGNITION
Three Applause Awards at Deloitte for exceptional contributions.