Arghya Mazumdar

Software Engineer

Bengaluru, Karnataka, India7 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

7 years of experience in full stack engineering.
Expertise in AI-powered applications and data engineering.
Proven track record of optimizing performance in high-demand environments.

Stackforce AI infers this person is a Full Stack Engineer with expertise in AI applications and data engineering for enterprise solutions.

Contact

Skills

Core Skills

ReactJavaData EngineeringAzure DatabricksSpring Boot

Other Skills

React.jsJavaScriptKubernetesApache SparkApollo GraphQLAmazon DynamodbBig DataMicroservicesDistributed SystemsLarge Language Models (LLM)REST APIsSQLAngularApache KafkaSpark

About

💻 Full Stack Engineer | 🤖 AI Applications | 📊 Data Engineering Full Stack Engineer (React + Java) with 7 years of experience driving innovation in Microsoft Teams. Skilled in building AI‑powered applications that enhance collaboration and productivity. Experienced in data engineering at scale (Spark + Databricks, Azure Lakehouse) with expertise in real‑time analytics and distributed systems.

Experience

7 yrs

Total Experience

7 yrs

Average Tenure

7 yrs

Current Experience

Microsoft

2 roles

Software Engineer 2 - L62

Promoted

Feb 2024 – Present · 2 yrs 3 mos

Microsoft Teams – Calendar & Scheduling
Drove core client architecture for Teams Calendar, improving performance (2× faster load, reduced memory footprint).
Operated globally distributed calendar APIs handling billions of requests/day with high availability, adding resiliency features like circuit breakers and caching.
Built AI‑powered Copilot integration for meeting scheduling, enabling agenda generation with LLMs and context‑aware personalization.
Designed battery‑efficient sync pipelines and presence‑aware caching, improving mobile experience and reducing unnecessary notifications

React.jsJavaScriptKubernetesApache SparkApollo GraphQLAmazon Dynamodb+6

Data Engineer 2 - L61

Jun 2019 – Feb 2024 · 4 yrs 8 mos

Previous Role – Data Engineer | Customer Enterprise Data Lake
Enterprise Data Lake Migration – Azure Lakehouse
Migrated a 20TB legacy warehouse to an Azure Databricks Lakehouse, enabling real‑time analytics and scalable BI reporting.
Built streaming pipelines (Kafka → Spark Structured Streaming → Delta Lake) with exactly‑once semantics and schema evolution enforcement.
Defined bronze/silver/gold layering strategy, reducing reporting latency from 12+ hrs to 6 hrs.
Optimized Delta Lake ACID transactions, partition pruning, and Z‑ordering, improving query performance across billions of records.

Azure DatabricksREST APIsSQLSpring BootAngularReact+5

Goldman sachs

Summer Intern

May 2018 – Jun 2018 · 1 mo · Bengaluru, Karnataka, India

Worked on changing the architecture of Goldman Sachs Asset Management portal from JSP based
web page to RESTFUL architecture using Spring Boot improving API response time by 30%. Hibernate was used as DAO, Mockito for unit testing and React for developing the UI. Finally, the web service was deployed in Tomcat.

HibernateMockitoJavaSpring Boot

Ibm

IBM India University Relations

Dec 2017 – Jan 2018 · 1 mo · India

Completed Project on
"Travel App Chatbot using Cognitive Search and Natural Language Processing"
under the IBM Global Remote Mentoring Program th th(15 December, 2017 to 15 January, 2018) IBM Mentor : Sarma Gadepalli

Codedata

Consulting Intern

Dec 2017 – Dec 2017 · 0 mo · Kolkata Area, India

Building a recommendation system to improve industrial productivity that delivers the most rewarding user experience for businesses worldwide by using Spark,Kafka,Cassandra on AWS

Jadavpur university, kolkata

Intern

Dec 2017 – Dec 2017 · 0 mo · Kolkata Area, India

Multi Lingual Script Classification:Worked on OCR analysis improvement by changing image pre processing techniques of standard OCR like tesseract and used textual features for KMeans Classifier to detect Indian script languages.

Indian institute of engineering science and technology (iiest), shibpur

Research Intern

Jul 2017 – Jul 2017 · 0 mo · Shibpur,Howrah

Classifying unknown documents based upon their content for similarity checking. This project aims to take a dataset of research papers and classify them into subtopics by using the K Means Algorithm so that researchers can easily follow work which is closely related to their own field.The quality of clusters was checked by indexing methods.

Indian institute of management, lucknow

Intern

May 2017 – Jun 2017 · 1 mo · India

Interns needed to complete a final project during the last few days of the internship. The project was related to the Hotel Industry or the Airline Industry. It would provide the interns with an open-ended, unstructured opportunity to explore and apply the data analytics skills taught by Prof Sameer Mathur during the internship.