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Ananya Mehra

Software Engineer

Bengaluru, Karnataka, India3 yrs 5 mos experience

Key Highlights

  • Expert in developing scalable microservices with Spring Boot.
  • Proficient in AWS and data pipeline integration.
  • Strong foundation in machine learning and data engineering.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and data engineering.

Contact

Skills

Core Skills

Spring BootAwsPythonJava

Other Skills

AWS (S3)AWS Data LakeAmazon Web Services (AWS)Analytical SkillsApache AirflowApache SparkBashData LoadingData ScienceDjangoDjango REST FrameworkETL ToolsGitGitHubJenkins

About

As a Software Engineer, I use my skills in Python, machine learning, deep learning, and Java to enhance the processes and develop projects that will benefit the organization. I work with Spring Boot, Django REST Framework, Apache Airflow, and MySQL to create and maintain code. I graduated with a Bachelor of Technology degree in core from DIT UNIVERSITY in 2022, where I learned the fundamentals of programming, data structures, algorithms, and software engineering. I also completed multiple certifications in machine learning, deep learning, and Git and Github, which helped me gain practical knowledge and experience in these domains. I am always eager to learn new technologies and apply them to real-world problems. My goal is to leverage my passion and skills in data engineering to create innovative and impactful solutions.

Experience

Goldman sachs

Software Engineer

May 2025Present · 10 mos · Bengaluru, Karnataka, India · On-site

  • Greenfield Microservices Development
  • Architecting and developing high-performance microservices from scratch using Spring Boot and AWS to support scalable financial platforms.
  • Built modular, resilient REST APIs with clean domain boundaries, improving service-to-service integration and reducing operational complexity.
  • Contributed to CI/CD, code reviews, and best-practice adoption to ensure reliability and maintainability.
  • Tech: Spring Boot, AWS, Git
  • Data Lake Integration & SQL-Driven Workflows
  • Designed and implemented data pipelines to ingest, store, and process large-scale financial datasets on AWS Data Lake.
  • Developed SQL workflows to enable fast querying and high-throughput data access for analytics and reporting teams.
  • Tuned retrieval and transformation logic to enhance system performance, integrity, and reliability.
  • Tech: AWS Data Lake, SQL, Spring Boot
  • AWS–Snowflake ETL Modernization & AI-Accelerated Engineering
  • Led modernization of legacy on-prem ETL workflows by migrating to an AWS + Snowflake-based architecture, improving scalability, security, and cost efficiency.
  • Engineered Spark/Java JAR pipelines to execute complex business transformations, enrichment logic, and high-volume data processing used by analytics and risk teams.
  • Leveraged AI-driven development tools (GitHub Copilot, AI MR reviewers, agentic assistants) to enhance code quality, reduce review cycles, accelerate delivery, and improve developer productivity.
  • Tech: AWS (S3), Snowflake, Apache Spark, Java, Python
Spring BootAWSGitSQL

Optum

Software Engineer

Jul 2022Oct 2024 · 2 yrs 3 mos · Gurugram

SQLPython (Programming Language)Python

Moxtain

Backend developer intern

Jan 2022May 2022 · 4 mos

  • i worked on a project where I worked mainly on the backend part .
Spring FrameworkJava

Technocolabs

Data Science Intern

Dec 2020Feb 2021 · 2 mos

  • in this internship our work was to perform explolatory data analysis on the data for training the models the models and work on two major projects where we had to check and train the models to get the optimal accuracy for better results via prediction.

Electronics service & training centre, ramnagar

Java Programmer

May 2019Jun 2019 · 1 mo

  • my day to day tasks here envolved in doing multiple programming questions and pushing in my solutions, it included core java , intermediate java and a basic touch of advanced java.

Education

DIT UNIVERSITY

Bachelor of Technology - BTech — core

Jan 2018Jan 2022

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