Pritha Shrivastava

Data Engineer

Bengaluru, Karnataka, India5 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines.
AWS Certified Cloud Practitioner with cloud-native solutions.
Strong focus on data governance and automation.

Stackforce AI infers this person is a Data Engineering expert in SaaS environments, specializing in cloud solutions and data governance.

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Skills

Core Skills

Data EngineeringCloud ComputingData Governance

Other Skills

Extract, Transform, Load (ETL)AWS GluePythonPySparkSQLGitHub ActionsAWS CloudFormationAgile MethodologiesETLAWS Lake FormationTeamworkRequirements GatheringSnowflakeMicrosoft ExcelMicrosoft Office

About

I'm a Senior Data Engineer with around 5 years of experience, mainly working with Python, SQL, and AWS to build secure, scalable data pipelines. I focus on automating data workflows using tools like AWS Glue, CDK, and PySpark to make data reliable, well-governed, and easy to use across the company. As an AWS Certified Cloud Practitioner, I enjoy designing cloud-native solutions that improve business processes and support analytics at scale. I’m hands-on with everything from writing transformation logic to setting up infrastructure as code and fine-grained data access controls. I’m always learning and exploring new technologies, and I love solving real-world data problems in ways that are both practical and impactful.

Experience

5 yrs 6 mos

Total Experience

4 yrs 10 mos

Average Tenure

8 mos

Current Experience

Fidelity international

Modern Data Engineer III

Sep 2025 – Present · 8 mos · Bengaluru, Karnataka, India · Hybrid

Principal global services

3 roles

Senior Software Engineer

Promoted

Mar 2024 – Sep 2025 · 1 yr 6 mos

With over 5 years of experience in building scalable data pipelines and delivering secure, analytics-ready datasets on the cloud, I lead end-to-end data engineering initiatives—from data ingestion and transformation to governance and automation. I focus on building reusable frameworks, improving data access, and ensuring security and performance across our data platforms.
Key responsibilities:
Build and maintain scalable ETL/ELT pipelines using AWS Glue, Python, and PySpark to process structured and semi-structured data from Amazon S3.
Monitor and debug AWS Glue and Snowflake pipelines to ensure reliability and performance.
Automate infrastructure and deployment using GitHub Actions and AWS CloudFormation for CI/CD.
Collaborate with business analysts and stakeholders to gather requirements and deliver production-ready datasets.
Implement secure, fine-grained access controls using AWS Lake Formation to meet data governance standards.
Actively contribute to Agile practices including sprint planning, stand-ups, and retrospectives.