Open to opportunities

Aakanksha Bhandari

@aakankshabhandari

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Software developer focused on scalable Java microservices, cloud, and data-driven solutions.

India

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What I'm looking for

I seek a role building scalable backend or cloud-native systems where I can modernize legacy systems, work with microservices and streaming platforms, and grow in system design and data-driven features.

I am a software developer with four years of professional experience building scalable Java-based microservices, cloud-native applications, and data-processing components. I focus on clean, maintainable code, test coverage, and automating deployment pipelines to reduce operational friction.

My recent work includes building middleware and stream-processing components using Spring Boot, Apache Kafka, Docker, and Azure, plus modernizing legacy systems and creating POCs to migrate on-prem logic to cloud-native implementations. I have implemented unit and parameterized tests, CI/CD Jenkins pipelines, and contributed to architecture and system-design efforts.

I hold an M.Tech (Data Science) in progress and have applied Python and machine-learning tools to a hybrid recommender project. I am certified in AZ-900 and enjoy collaborating with cross‑functional and on‑shore teams to deliver business impact.

Experience

Work history, roles, and key accomplishments

Software Developer

Cognizant

Developed and maintained Java-based middleware and stream-processing components for financial services, improving processing efficiency and enabling deployment via CI/CD and Azure Kubernetes. Built new components for trade message conversion and automated deployment pipelines, contributing to migration POCs and increasing test coverage.

Java Spring Boot Azure Docker Apache Kafka SQL CI CD Unit Testing Databricks

Education

Degrees, certifications, and relevant coursework

Birla Institute of Technology and Science, Pilani

Master of Technology, Data Science

2023 -

Pursuing an online M.Tech in Data Science with coursework and projects focused on machine learning, data processing, and recommender systems (ongoing).