Driven Data Engineer with 3.5 years of experience in designing, building, and optimizing data pipelines. Skilled in
ETL processes, data warehousing, and database management. Proficient in programming languages such as
Python and SQL. Seeking to leverage expertise in data engineering to contribute to a dynamic organization's
success.
Overview
4
4
years of professional experience
Work History
Consultant
Capgemini
06.2023 - Current
Analyzed and improved client's digital marketing strategies to enhance customer engagement and
increase conversion rates
Led a team in implementing a data-driven approach resulting in a 20% increase in online sales for the
client
Developed and presented comprehensive reports to senior management, showcasing the impact of our
recommendations on revenue growth
Successfully managed to boost client satisfaction scores by 15% through proactive communication and
solution-driven consulting.
Associate Consultant
Capgemini
06.2022 - 05.2023
Collaborated with cross-functional teams to analyze and optimize business processes
Conducted in-depth market research and competitor analysis to support strategic decision-making
Developed and presented client proposals, demonstrating innovative solutions that led to increased
sales by 15% in the first quarter
Implemented a new data analytics tool that improved operational efficiency and reduced costs by 20%.
Senior Analyst
Capgemini
06.2021 - 05.2022
Analyzed large sets of data and provided insights to improve business processes
Collaborated with cross-functional teams to develop strategies for optimizing operational efficiency
Implemented data-driven solutions to enhance decision-making processes within the organization
Played a key role in moving the customer satisfaction metric by 15% through targeted analytics and
recommendations
Education
Computer Science(Data Analytics
Vellore Institute of Technology
Skills
Cloud Platforms:
AWS, Azure DevOps Tools: Azure DevOps, Git, Confluence Data Tools: Palantir, Microsoft PowerBI
Microsoft PowerApps, Microsoft PowerAutomate Programming Languages: Python, PySpark, Jinja2, SQL
API Tools:
Postman API Big Data and Data Engineering: ETL (Extract, Transform, Load), Pipeline Templating, Big Data
Processing with PySpark Automation and Monitoring: Proactive monitoring solutions, Notification Systems with
Near real-time alerting
ACHIEVEMENTS
Streamlined data integration by migrating pipelines to the Palantir cloud platform
Enabled direct AWS S3 bucket feeds, eliminating redundant storage and achieving cost savings for the
Client
Upgraded Palantir data pipelines with REST API integration to enhance platform capabilities
Developed proactive monitoring solutions to enhance system reliability and improve client
Communication
Automated processes to maintain robust backend infrastructure and streamline workflows
Interests
EXTRA CURRICULAR ACTIVITIES / INTERESTS
, Football
Cricket
Badminton
Cooking