Aditya J. Email & Phone Number

Houston, Texas, United States

- In the enterprise data team, I contributed to the history data project and documented on-call support best practices. I collaborated with leaders and customers to define SLAs of < 1 minute for data retrieval, actively supported production deployment and releases, and successfully migrated clients from Redshift to the Snowflake Platform, yielding a 200% improvement in performance over the former. In addition, contributed to the development of a Java framework for data retrieval, processing, and analysis from Snowflake.- As part of my role, I also developed big data models using DBT and created Python notebooks using Jupyter. I also built utilities to assist clients and implemented enterprise batch integration using Tivoli, AWS Batch, S3, and various integrations. To ensure data quality, I conducted rigorous testing, including writing automated pytest integration tests to compare data between Snowflake and Redshift. Additionally, I actively triaged and addressed any defects identified during the testing process- In addition, during my time at Sapient, I also worked on other projects to enhance technical knowledge through certifications and contributed to the design and development of data pipelines on ADF (Azure Data Factory) and visualized data to provide cost/efficiency metrics using PowerBI

Los Angeles, California, United States

- As one of the first few engineers on the team, I worked on setting up the data infrastructure at CALSTART using AWS services such as RDS, Lambda, API Gateway, and ETL/Airflow data pipelines to populate the database on a schedule based on external clients’ data contracts- Developed a Python-Flask application on AWS Lambda to service data through APIs. Monitored logs of the Lambda instance through Lumigo dashboards, and provided the best customer experience by servicing any failures within team-defined SLAs.- I designed and developed internal libraries using Poetry as a wrapper for external APIs. By leveraging asyncio for asynchronous API calls, data retrieval requests were accelerated by over 80%, reducing engineering time spent on this task. These optimized libraries provided a streamlined interface, enhancing productivity and enabling more timely decision-making within the organization- Worked with several clients’ data to perform data analysis (like geo-visualization) and implemented live dashboards through web-based frameworks like plotly (Javascript) in Python and provided recommendations to stakeholders on reducing electric vehicle charging costs and carbon emissions

Melbourne, Florida, United States

- I worked with the Railway Signaling team, building features for the Data Management Platform, and was involved in the design, development, and deployment of applications using tools and technologies such as Python, Docker, Jenkins, and various packet tracing tools like tcpdump for processing data and generate meaningful insights or alerts for monitoring purposes- Collaborated in a cross-functional team with DevOps, networking, and software engineering teams to ensure the successful delivery of tasks and create comprehensive documentation to record proposed functionalities and verify the correctness and reliability of implemented containerized applications and networking protocols through automated unit tests through pytest- I also worked closely with software architects on Internet of Things (IoT) strategy, standards, and protocols and performed A/B testing of proposed product features and functions

Rochester, New York, United States

- Assisted in RFID computing algorithm analysis, and developed a full-stack application for Nurse Call Systems with Javascript, HTML, Python, and other web frameworks like PHP, jQuery including SQL databases to host relevant data related to medical/healthcare information - Programmed a predictive analytics tool based on image processing in Python to determine the accurate location of patients in a facility to improve safety and response time, reducing manual deployment effort by 30%

Master'S Degree, Computer Science

Advanced Certificate In Big Data Analytics, Computer Science

Bachelor Of Engineering (Be), Computer Science, First Class With Distinction