Neeraj Singh Email and Phone Number

- Working on a data pipeline to capture data with ETL processes.- Collaborating with data architects, data scientists, or other cross-functional teams to gather requirements and design data processing and analytics solutions.- Developing & maintaining data infrastructure on Amazon AWS with Terraform as IAC.- Optimizing data storage and processing to improve performance and reduce costs.- Implemented data quality checks and validation to ensure data accuracy and integrity.- Managing and monitoring data pipelines to ensure smooth and efficient data flow with AWS CloudWatch logs & metrices, and CloudTrail history logs.- Received appreciation mail from the Product Manager for the smooth delivery & from data scientists for the POC done on DDB attribute-wise item size calculation.

- Collaborated with clients to understand their business requirements and provided solutions for user's data, utilizing services like AWS Cognito & DynamoDB.- Worked on gremlin-python & Neptune DB to understand data & its relationships.- Performed data analysis to provide insights and recommendations to clients. Provided technical expertise and support to clients.

GSDP - Data Engineer (Team Lead)● Building scalable & reusable event-driven data pipelines to receive data from multiple sources, transform it as per the requirements of different consumers and store in the data stores i.e. S3, MSK, DynamoDB, & Redshift● Worked on live sports data ingestion as well as historical data to store raw unprocessed data as well as transformed data in S3 in JSON, PProfiarquet or CSV formats and make it available to consumers through different AWS services (i.e. Appsync, Redshift & MSK) ● AWS services: Lambda, SNS, SQS, Kinesis, S3, Cloudwatch, API Gateway, DynamoDB, Appsync, MSK, Athena, Redshift, etc. ● Proficient in Python (Pandas/Numpy) ● IAC: Terraform (earlier: Cloudformation), CICD: Github & Jenkins● Promoted to Team Lead ● Awarded with Global Recognition for 2022 Quarter-I

Consultant(Data Engineer) w/ Goldman Sachs● Building scalable & reusable event driven data pipelines to receive data from multiple sources, transform it as per the requirements from different consumers and store in the data-stores i.e. S3 & DynamoDB● Worked on some financial data ingestion as well as historical data to store raw unprocessed data as well as transformed data in S3 in Json, Parquet or CSV formats and make it available to consumers through different AWS services (i.e. DynamoDB & S3) ● AWS services: Lambda, SNS, SQS, Kinesis, S3, Cloudwatch, API Gateway, DynamoDB, Athena. ● Used C# as a coding language for data transformation● IAC: Terraform, CICD: Github & Jenkins

Stock Trading Desktop Application - .Net/C# Developer ● Single handedly managed complete product by gathering client’s requirements ● Worked on the development (Winforms), bug-fixing and debugging of all new features implemented in the front-end application from scratch as suggested by the client ● JSON serialization and deserialization used in the front end ● Performed testing of the APIs provided by back-end team using Postman and integrating the same in front end Stock Trading Dealer Application for OMS - .Net/C# Developer ● Worked on the development and design of new modules (Winforms), debugging of all new features implemented and bug-fixing ● Integration of Web Socket APIs and REST APIs within application for multiple modules ● JSON serialization and deserialization used (Newtonsoft library) India’s #1 Desktop Application-Zerodha Pi - .Net/C# Developer https://www.youtube.com/watch?v=BJZz0cwopTw● Worked on the development (Winforms) and performed testing of all new features implemented in the live front-end application related to technical charts ● Bug-fixing reported by the clients and new feature implemented related to different kinds of order placing in the market, charts, chart tools, technical indicators, and user settings of the app as well as provided tech support ● Presented app to Brokerage firms in the absence of management team to sell this app