Shristi Pradhan
Bengaluru
Summary
Experienced Senior Data Engineer with 9 years of expertise in designing, building, and optimizing scalable, high-performance data pipelines for enterprise applications. Proficient in Azure Databricks, PySpark, SQL, Python, Snowflake, and Azure Data Factory (ADF), with a strong focus on delivering robust, end-to-end data engineering solutions. Adept at leading teams and managing full project lifecycles—from requirement gathering and sprint planning to client interaction and solution delivery. Experienced in implementing CI/CD pipelines using Azure DevOps, enhancing deployment efficiency and operational reliability. Demonstrated success in leading data migration initiatives, automating complex workflows, and driving cross-functional collaboration to support data-driven business decisions and long-term scalability.
Overview
9
9
years of professional experience
Work History
Software Development Engineer III
Sigmoid Analytics
Bengaluru
03.2025 - Current
- Leading a team of 4 Data Engineers, providing technical guidance and ensuring timely delivery of high-quality data solutions.
- Developing end-to-end data engineering frameworks using Azure Data Factory (ADF) and Azure Databricks (ADB) to streamline data ingestion, transformation, and storage processes.
- Collaborating directly with clients and stakeholders for requirement gathering, sprint planning, and aligning technical solutions with business objectives.
- Designing scalable, reusable data pipelines using PySpark and SQL, enabling seamless data flow across systems and supporting complex analytics use cases.
- Spearheading efforts in CI/CD implementation for data workflows using Azure DevOps, reducing release cycle time and increasing deployment reliability.
- Establishing best practices in data quality, version control, and documentation, fostering a robust data engineering culture within the team.
- Driving code reviews, technical grooming, and regular knowledge-sharing sessions to uplift team capabilities.
- Working across cross-functional teams including BI, and Product teams to support integrated data solutions and business insights.
Senior Data Engineer
EY GDS
Bengaluru
07.2021 - 03.2025
- Designed and developed high-performance ETL pipelines leveraging Azure Databricks, PySpark, and SQL for big data processing, ensuring efficient handling of terabyte-scale datasets.
- Led a data migration from Alteryx to Snowflake, improving data processing efficiency by 25% and enhancing scalability.
- Developed PySpark-based transformation frameworks, leveraging distributed computing to optimize job execution time.
- Built highly optimized SQL queries for real-time analytics and fast query performance in Snowflake and Azure SQL.
- Automated Azure Data Factory (ADF) pipelines, ensuring seamless data orchestration, transformation, and movement across cloud platforms.
- Implemented CI/CD pipelines for data workflows using Azure DevOps, streamlining code deployment, reducing errors, and ensuring faster integration of changes into production environments.
- Optimized SnowflakeSQL queries and schemas, reducing query execution time and enhancing performance.
- Mentored and led a team of junior data engineers, improving skillsets and ensuring successful project deliveries.
- Collaborated closely with business and analytics teams to define data requirements and implement solutions that drive decision-making.
Senior Project Engineer
Wipro Limited
Pune
06.2016 - 06.2021
- Designed and developed big data solutions using Azure Databricks, PySpark, and SQL to handle large-scale data processing efficiently.
- Optimized PySpark performance, leveraging RDD, DataFrame API, and caching techniques to enhance data pipeline efficiency.
- Built and maintained ETL workflows in Talend and Sqoop, ensuring seamless data ingestion and integration from multiple sources.
- Developed and optimized Hadoop-based data pipelines using HDFS, Hive, and Snowflake, improving query performance and storage efficiency.
- Automated data ingestion jobs using Autosys, ensuring timely and reliable data availability.
- Designed and implemented partitioned Hive tables and optimized Snowflake queries to reduce storage costs and boost performance.
- Collaborated with cross-functional teams to define data strategies and implement best practices for scalable data solutions.
Education
Bachelor of Technology - Computer Science - Computer Science
Galgotias University
Greater Noida05-2016
Senior Secondary - PCM -
Tagore Public School
Prayagraj05-2011
High School -
Maharishi Vidya Mandir
Prayagraj05-2009
Skills
- Azure databricks
- Azure Data Factory
- PySpark
- SQL
- CI/CD implementation
- Data pipeline design
Timeline
Software Development Engineer III
Sigmoid Analytics
03.2025 - Current
Senior Data Engineer
EY GDS
07.2021 - 03.2025
Senior Project Engineer
Wipro Limited
06.2016 - 06.2021
Bachelor of Technology - Computer Science - Computer Science
Galgotias University
Senior Secondary - PCM -
Tagore Public School
High School -
Maharishi Vidya Mandir
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