Sangram Mohite
Pune
Summary
Experienced Azure Data Engineer with 4 years of experience and a track record of success in designing and implementing
efficient data pipelines, architectures, and ETL workflows on the Azure cloud platform. Utilizing various Azure services such as Azure Data Factory (ADF), Azure Databricks, PySpark, and Azure SQL Database to create scalable and effective data solutions.Skilled in managing data lakes, integrating and processing data from multiple sources, and ensuring smooth data flow across cloud environments. Expertise in optimizing data pipelines for high performance, cost-effectiveness, and scalability while upholding data quality and security standards.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Analyst
Accenture
Pune
06.2025 - Current
- Led data pipeline modernization by migrating legacy ETL workflows from Talend to Databricks, enhancing scalability and performance.
- Designed and implemented modular,reusable notebook pipelines in Databricks using PySpark for optimized data transformation and ingestion.
- Utilized AWS S3 as the centralized storage layer, managing large volumes of structured and semi-structured data securely and efficiently.
- Developed parameterized and orchestrated pipelines using Databricks Utilities and workflows , supporting multiple data products with minimal maintenance.
- Collaborated with cross-functional teams to ensure data quality, lineage, and compliance aligned with insurance regulatory.
- Provided knowledge transfer and documentation to enable seamless handover and operational continuity.
Data Engineer
Tata Consultancy Services
Pune
01.2022 - Current
- Developed extensive ETL pipelines utilizing Azure Data Factory, leading to a 30% increase in workflow efficiency.
- Engineered a scalable Data Lake architecture using Azure Data Lake Storage Gen2, streamlining data storage, access, and management for a variety of data types
- Implemented end-to-end ETL pipelines with Azure Data Factory, automating data flow from multiple sources, including APIs, on-prem databases, and flat files, to ensure seamless integration and data transformation
- Built and optimized big data processing workflows using Azure Databricks and PySpark, reducing data processing latency by 30% and improving the performance of business-critical analytics
- Developed and managed ETL pipelines within Databricks to transform raw data into structured, analytical datasets, enhancing data accessibility for data science teams
- Configured and optimized Databricks clusters for cost-effective, scalable compute resources, ensuring high performance and reduced infrastructure costs
- Collaborated with cross-functional teams to understand data requirements and deliver high-impact, actionable insights to stakeholders
- Automated data quality checks within ETL pipelines to ensure data accuracy and consistency across all integrated sources
- Proven ability to architect automated environments for optimal data assets and resources, leveraging essential tools such as Azure SA, ADL’s Gen2 SA, ADF, Azure Data Bricks, GitHub, ADF Pipelines, ADF Data flows, SQL Server, SSMS, Microsoft Data Migration Assistant.
Trainee Engineer
BOSCH Limited
Nashik
02.2021 - 12.2021
- Designed, developed, and maintained interactive dashboards for monitoring of manufacturing production data, providing valuable insights into production performance, rejection rates, and overall process efficiency. Utilized Power BI to present data-driven insights for leadership and operational teams.
- Analyzed daily rejection data from Test line parameters to identify patterns, trends, and areas for improvement. Provided actionable insights to optimize production processes and reduce rejection rates.
Education
Bachelor of Engineering -
Savitribai Phule Pune University
Pune06.2020
INTERMEDIATE -
SMV
Akluj04.2016
HIGH SCHOOL -
KVMP
Akluj06.2014
Skills
- SQL
- Python
- PySpark
- Databricks
- Azure Data Factory
- Microsoft Azure
- Snowflake
- Power BI
- CI / CD
- SSRS
- ETL development
- Data modeling
Personal Information
Certification
- Microsoft Azure Data Engineer (DP-203), 08/2024, Achieved Azure Data Engineering Data completion certification through Microsoft, demonstrating proficiency and successful assessment completion.
- Microsoft Power BI Certification (PL-300), 02/2024, Achieved Power BI completion certification through Microsoft, demonstrating proficiency and successful assessment completion.
Timeline
Senior Analyst
Accenture
06.2025 - Current
Data Engineer
Tata Consultancy Services
01.2022 - Current
Trainee Engineer
BOSCH Limited
02.2021 - 12.2021
Bachelor of Engineering -
Savitribai Phule Pune University
INTERMEDIATE -
SMV
HIGH SCHOOL -
KVMP