Soumyadeep Sarkar

Data Engineer

Chubb Business Services India

06.2022 - Current

Assisted in the design, development, and implementation of ETL processes using Informatica IICS
Wrote SQL queries, stored procedures, and functions to retrieve and manipulate data from databases
Collaborated with senior developers and stakeholders to gather requirements and understand project objectives
Tested and debugged code to ensure accuracy, reliability, and optimal performance
Participated in code reviews and provided feedback to improve code quality and maintainability
Kept up-to-date with emerging technologies and best practices in data integration and SQL development
Provided support and troubleshooting assistance to end-users as needed
Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
Established robust monitoring processes to detect system anomalies.
Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in a timely manner.
Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
Documented and communicated database schemas using accepted notations.
Collaborated with system architects, design analysts and others to understand business and industry requirements.
Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
Managed identification, protection and use of data assets.
Established and secured enterprise-wide data analytics structures.
Planned and installed upgrades of database management system software to enhance database performance.
Gathered, defined and refined requirements, led project design and oversaw implementation.
Designed data models for complex analysis needs.
Developed and delivered business information solutions.
Reviewed project requests describing database user needs to estimate time and cost required to accomplish projects.
Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.

Summary

Overview

Work History

Data Engineer

Data Engineer Trainee

Education

B-Tech - Computer Science

Intermediate -

Skills

Accomplishments

Certification

Languages

Timeline

Data Engineer

Data Engineer Trainee

Intermediate -

B-Tech - Computer Science

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