Feb 2022 – Jan 2025 · 2 yrs 11 mos · Gurugram, Haryana, India

• Helped Customers in:
• Designing and Building the AI-Powered Solutions such as:
• Human-Centric AI Agents
• Decision-Making Agents
• MongoDB Atlas Database as Database Integration for Vectors
• Implementing RAG for AI-powered applications.
• Cloud and Security:
• Migrating applications to cloud-native solutions for improved performance and scalability.
• Securing sensitive PII information and implementing robust security principles across systems.
• Designing and Building Scalable NoSQL Applications

Mar 2020 – Feb 2022 · 1 yr 11 mos · Gurugram, Haryana, India

• Collabrated with a diverse range of clients, including startups, enterprises, and high-growth companies.
• Contributions:
• 1. NoSQL Database Solutions:
• Developed applications powered by NoSQL databases using MongoDB Atlas and on-premises MongoDB (Community and Enterprise editions).
• Implemented Kubernetes (K8s) operators and Ops Manager for efficient database management and deployment.
• 2. Data Processing Applications:
• Designed and built applications utilizing advanced data processing frameworks such as Apache Spark, Google Cloud DataProc, and BigQuery.
• 3. Offline Solutions Development:
• Created multiple offline solutions leveraging Atlas Device Sync, custom offline architectures, Realm.
• 4. Search Application Design:
• Developed interactive search applications prioritizing user experience through Lucene-powered Atlas Search and Elasticsearch.
• 5. Time Series Data Management:
• Leveraged time series data management techniques to provide better insights and enhance analytical performance across applications.
• 6. Cloud-Native Big Data Solutions:
• Designed and implemented cloud-native Big Data solutions, including Data Lakes, Azure Data Lake Storage Gen2 (ADLS), Amazon S3, Apache Spark, Hadoop ecosystem components, and Databricks for scalable data processing.

Oct 2019 – Feb 2020 · 4 mos · Gurugram, Haryana, India

Oct 2017 – Oct 2019 · 2 yrs · On-site

• As a Technical Consultant specializing in data engineering, I contributed to building and optimizing data pipelines for fraud detection in the travel and banking domains, particularly for payments and transaction monitoring. My role included:
• Designing and managing ETL processes for large-scale data processing using Apache Spark Java, HDFS, AWS Redshift, EMR, and AWS S3,
• Setting up and maintaining clusters to ensure efficient data processing and pipeline reliability.
• Implementing stream processing solutions using Kafka and Apache streaming frameworks for real-time data analysis.
• Working with MongoDB for handling high-performance, scalable database operations.
• Collaborating on microservices architecture to support seamless integration across various systems.

Nov 2015 – Oct 2017 · 1 yr 11 mos · On-site

• Role: Backend Developer and Data Engineer
• Project: 41st Parameter - Fraud Detection
• Domain: Cybersecurity & Fraud Prevention
• As a Backend Developer and Data Engineer, I contributed to the design and development of a sophisticated fraud detection platform
• Technologies Used:
• Programming & Frameworks: Java, Spring Boot, Spring Cache
• Authentication: JWT-based authentication
• Cloud Services: AWS Cognito, S3, EC2, EKS
• Containerization & Orchestration: Docker, Kubernetes
• CI/CD Tools: Jenkins, GitHub Actions
• Data Streaming & Analytics: Apache Kafka, Spark Connector
• Key Responsibilities and Contributions:
• 1) Java Microservices Development:
• Designed and developed secure, scalable Java-based microservices using Spring Boot, Implemented Spring Cache and JWT-based authentication to enhance performance and security.
• Integrated AWS S3 for efficient data storage solutions.
• 2) Integration & Deployment:
• Built and deployed containerized microservices using Docker
• Automated CI/CD pipelines using Jenkins and GitHub Actions
• 3) Real-Time Data Processing:
• Utilized Apache Kafka for real-time data streaming and event-driven architecture.
• Integrated Spark Connector to process and analyze data streams, enabling the creation of a real-time analytics platform.

Nov 2012 – Nov 2015 · 3 yrs · Noida, Uttar Pradesh, India

• Project: General Motors - Customer Self-Service & Collections
• Domain: BFSI
• Role: Full Stack Developer
• Technologies: Java, SOAP Web Services, JavaScript, CSS, Unit Testing, MVC Architecture, Oracle Web Server, Linux, SVN, JMS Message Queue, PL/SQL, Oracle Database
• Roles & Responsibilities:
• Analyzed and gathered requirements to deliver change requests that aligned with client expectations.
• Designed and implemented full-stack features, ensuring seamless integration across the application.
• Supported the team with technical expertise during project development and deployment.

Nov 2012 – Nov 2013 · 1 yr · Noida, Uttar Pradesh, India

• Project: FinnOne - GM Financial
• Domain: BFSI
• Role: Java Developer
• Technologies: Java, Servlet, Oracle Web Server, Linux, SVN, Message Queue, SOAP Web Services, PL/SQL, Oracle Database
• Roles & Responsibilities:
• Delivered change requests and enhancements
• Collaborated with cross-functional teams to address technical challenges and improve system performance