Open to opportunities

maitrey vadgama

@maitreyvadgama

Message

Backend Software Engineer with expertise in Java and Databricks.

India

Message

What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for professional growth in a collaborative environment.

I am a Backend Software Engineer with over 3.5 years of experience in building scalable, high-throughput distributed systems. My journey has taken me through various roles where I have honed my skills in Java, Spring Boot, Databricks, and AWS. At J.P. Morgan & Chase Co., I architected and developed scalable ETL data pipelines that handle an impressive 16TB of data daily, showcasing my ability to manage large-scale data processing efficiently.

In my previous role at Sprinklr, I improved and maintained modules that fetched metric data from major social media platforms, enhancing our analytics capabilities. My technical expertise extends to automating data workflows and integrating various APIs, which has significantly streamlined operations. I am passionate about problem-solving and continuously seek to optimize performance, as demonstrated by my work in performance tuning on Databricks clusters, leading to reduced costs and improved operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer 2

Current

J.P. Morgan & Chase Co.

May 2024 - Present (1 year 2 months)

Architected and developed scalable Extract, Transform, Load (ETL) Data pipelines using Databricks and PySpark stream processing (16TB data daily). Built enterprise-level Java microservice handling over 1M Kafka events/hour for real-time analytics via AWS Kinesis.

Java Spring Boot Databricks Pyspark AWS Kafka Terraform ETL Microservices REST APIs

Product Engineer

Sprinklr

Jul 2022 - Dec 2023 (1 year 5 months)

Improved and maintained the module responsible for fetching various metric data from social media platforms like Instagram, Facebook, LinkedIn, and X (formerly Twitter). Maintained and Automated pipeline generation handling 10–100M Elasticsearch documents in Unified Analytics(used Java spark apis), removing manual effort.

Java EE Spring MongoDB Elasticsearch Redis Kafka Spark Kubernetes Unified Analytics

Product Engineer Intern

Sprinklr

Jan 2022 - Jun 2022 (5 months)

Worked with the core platform team to improve secure data transfers between environments using Java annotations to detect and migrate nested entities (MongoDB). Resolved concurrency bugs and data inconsistencies.

Java MongoDB Concurrency

Intern

Cerebry AI

Aug 2021 - Dec 2021 (4 months)

Built an automated math exam generator using Python/Perl to assist teachers with dynamic question creation.

Python Perl Automation Exam Generation

Education

Degrees, certifications, and relevant coursework

DAIICT, Gandhinagar

B.Tech, Information and Communication Technology

Completed a Bachelor of Technology in Information and Communication Technology. Gained foundational knowledge and practical skills in various aspects of ICT.