Deepika Mangnani — Data Engineer
I am a Data Engineer with 3+ year of experience in building scalable, end-to-end data pipelines using AWS Cloud and Azure DevOps. Currently specialize in designing and optimizing ETL processes with services like AWS Fargate, Lambda, Step Functions, and Glue, and I have a strong background in SQL and Python. I’ve built pipelines to extract, transform, and load data into AWS RDS, ensuring efficient data flow and high-quality results. I’ve also developed optimized SQL queries to enhance processing speed, built real-time ETL logging systems, and created interactive Tableau dashboards for reporting and data reconciliation. In addition, I’ve implemented CI/CD pipelines using Azure DevOps and AWS CloudFormation, streamlining the deployment of infrastructure. My goal is to deliver data-driven solutions that empower teams to make informed, impactful decisions. Always on the lookout for new opportunities to grow and collaborate, I am open to connections and discussions. In my free time, I enjoy playing badminton, taking care of plants and spending quality moments with my family.
Stackforce AI infers this person is a Data Engineer specializing in AWS-based data solutions.
Location: Bengaluru, Karnataka, India
Experience: 3 yrs 4 mos
Skills
- Data Engineering
- Aws
- Sql
- Web Development
Career Highlights
- 3+ years of experience in data engineering.
- Expert in building scalable data pipelines using AWS.
- Proficient in SQL and Python for data processing.
Work Experience
Morgan Stanley
Data Engineer (6 mos)
Quantiphi
Data Engineer (2 yrs 10 mos)
Framework Engineer (4 mos)
The Sparks Foundation
Web Developer (1 mo)
Astorianz Industries
Web Development Intern (2 mos)
Education
BE at Vivekanand Education Society's Institute Of Technology