Pragya Agrawal

Software Engineer

Bengaluru, Karnataka, India3 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Optimized data pipelines for faster performance.
Implemented CI/CD for smooth deployments.
Awarded Rakuten's Bumble Bee and Excellence Awards.

Stackforce AI infers this person is a Backend-focused Data Engineer with expertise in cloud technologies and data pipeline optimization.

Contact

pragyaagrawal2005@gmail.com +919352086654 LinkedIn

Skills

Core Skills

Data EngineeringBackend DevelopmentCi/cd

Other Skills

Agile DevelopmentAirflowApache RangerApache SparkApache SupersetAzure Data FactoryAzure DatabricksC (Programming Language)C++Cascading Style Sheets (CSS)Data StructuresDatabricksDelta SharingETLExpress.js

About

Hey there! 👋 I’m a Software Engineer at Rakuten India, working mostly on backend systems with a strong focus on data engineering and cloud tech. I enjoy building and optimizing data pipelines using tools like Databricks, Airflow, and Azure Data Factory to make things run faster, cleaner, and more efficiently. I’ve also worked a lot with CI/CD pipelines using Jenkins, automating testing and deployments so releases are smooth and stress-free. Along the way, my work was recognized with Rakuten’s Bumble Bee and Excellence Awards in 2023 — a nice bonus for doing what I love. I enjoy learning, collaborating, and solving real problems at scale. If you’re into backend, data, or just making tech work better, let’s connect and swap ideas!

Experience

Rakuten india

3 roles

Software Engineer-I

Apr 2025 – Present · 11 mos

1. Owned production maintenance and optimization of Databricks-based ETL pipelines, improving data lake performance, implementing RBAC and user management for secure access, and ensuring high reliability and scalability.
2. Participated in agile development cycles including design, testing, debugging, and production support, enhancing application resiliency, system stability, and operational efficiency.

DatabricksETLRBACAgile DevelopmentData EngineeringBackend Development

Associate Software Engineer

Jun 2023 – Mar 2025 · 1 yr 9 mos

1. Maintained ETL platform including Airflow scheduler managing Spark batches, Presto querying engine, and
Apache Ranger for RBAC; orchestrated ingestion of data from various sources into ADLS storage to ensure secure,
scalable, and efficient data pipelines.
2. Integrated Databricks with Airflow, optimizing PySpark-based ETL pipelines for 2x faster query performance and
high-throughput production workloads.
3. Implemented Jenkins CI/CD pipelines for continuous integration; led POCs integrating Databricks with Azure
Data Factory for streamlined orchestration and client onboarding

AirflowSparkPrestoJenkinsDatabricksAzure Data Factory+2

Technical Intern

Jan 2023 – May 2023 · 4 mos

1. Conducted a POC for scalable data engineering workflows in Databricks by optimizing Spark ETL pipelines.
2. Leveraged Delta Sharing, Delta Live Tables, MLflow, and native visualization to evaluate query performance and production readiness.

DatabricksSparkDelta SharingMLflowData Engineering