Apr 2025 – Present · 1 yr 2 mos · Remote

• Reviewing and editing articles as a Subject Matter Expert (SME), ensuring high-quality content standards.
• Conducting local events to foster community engagement among data engineering and data science professionals.
• Managing the official LinkedIn page, posting weekly picks to enhance visibility and attract a broader audience.

Apr 2022 – Jun 2025 · 3 yrs 2 mos · Dallas-Fort Worth Metroplex · Hybrid

• As part of the data engineering team, I led the design, optimization, and deployment of large-scale data platforms supporting data-driven advertising solutions for Fortune 500 clients.
• Engineered over 2,000 audience segments using demographic, geographic, and behavioral data, processing 12+TB weekly.
• Contributed to a 30% improvement in campaign effectiveness through advanced data modeling and analytics.
• Designed a dynamic load-balancing framework, reducing latency by 40% for real-time ad deployment across major networks.

Dec 2021 – Apr 2022 · 4 mos · Dallas-Fort Worth Metroplex

• As part of the data engineering team, I led the design, optimization, and deployment of large-scale data platforms supporting data-driven advertising solutions for Fortune 500 clients.
• Engineered over 2,000 audience segments using demographic, geographic, and behavioral data, processing 12+TB weekly.
• Contributed to a 30% improvement in campaign effectiveness through advanced data modeling and analytics.
• Designed a dynamic load-balancing framework, reducing latency by 40% for real-time ad deployment across major networks.

Oct 2019 – Dec 2021 · 2 yrs 2 mos

• Xandr, the advertising arm of AT&T, leverages extensive consumer data from platforms like DIRECTV and mobile services to deliver hyper-targeted, relevant advertising at scale. As part of the data engineering team, I played a pivotal role in powering machine learning-driven segmentation, campaign optimization, and data quality across petabyte-scale pipelines.
• As a Big Data Software Engineer at Xandr, I enhanced ad campaign performance by 30%, contributing approximately $95.9 Mil in revenue.
• Developed a multi-threaded ETL pipeline using Spark and Airflow, increasing processing efficiency by 35% for over 25TB of weekly data.
• Designed real-time data pipelines with AWS Lambda and Snowflake, reducing latency by 40% for instant ad deployment.

Dec 2018 – Oct 2019 · 10 mos

Jun 2018 – Dec 2018 · 6 mos · Dallas/Fort Worth Area

• Led the migration of legacy data infrastructure from on-premise Teradata to Snowflake on AWS, modernizing analytics capabilities and reducing system downtime. Partnered closely with analysts, DevOps, and support teams to deliver scalable, cost-effective, and reliable data solutions.
• Transitioned from Teradata to Snowflake, achieving a 33% reduction in storage costs.
• Ensured 100% data accuracy during the migration of 20+ databases and 50+ tables.
• Developed automated validation protocols to streamline the data transition process.

Aug 2017 – Dec 2017 · 4 mos · Indianapolis, Indiana Area

• Assisted in teaching INFOI-101 Introduction to Informatics, addressing student queries on Java, HTML, CSS, and JavaScript.
• Coordinated tutoring sessions and kickoff meetings for final projects, enhancing student engagement and understanding.
• Collaborated closely with Dr. Francesco Cafaro to ensure effective communication of complex concepts.

May 2017 – Aug 2017 · 3 mos · Indianapolis, Indiana Area

• As a part of the program, Google Summer of Code 2017, I worked with Computational Biology@ University of Nebraska- Lincoln on ccNetViz, a lightweight (22kB minified), high performance
• javascript library for large network graphs visualization using WebGL. ccNetViz is open source library available under GPLv3 License. I developed and modified the framework to make it compatible with the latest interfaces.
• Some of the works accomplished are:
• Added interactivity to the library, without the use of any external libraries, so that the
• visualizations can be panned and zoomed even on touch screen devices.
• Modified the framework so that undirected graphs can also be visualized by merging the
• opposite edges between two nodes . Implemented an algorithm with linear complexity which
• optimized the performance of the feature in vast and complex networks.
• Cleaned/ modified the example codes so that developers can view the code snippet used for
• generating a graph.
• Created documentations for the library and examples explaining all the features using gitbook.
• Created a graph enabled of spatial search where the user can click at any point in the canvas
• and will be able to know the number of nodes present, edges (coming in, going out) and the x,y
• coordinates of the point.
• Constantly worked on enabling these features throughout the library rather than doing it for a
• particular use case by modifying the js code in srs/ccNetViz.js and building it using Webpack.

Nov 2016 – Jan 2017 · 2 mos · Indianapolis, Indiana Area

• Collaborated with the LibreHealth organization to design and evaluate engaging tasks for high school students.
• Mentored participants in the Google Code-in 2016 program, fostering their skills in open-source development.
• Enhanced student engagement and learning outcomes through tailored feedback and support.

Jan 2017 – Apr 2017 · 3 mos · Indianapolis, Indiana Area

• Served as a Data Science Subject Matter Expert during a Research Assistantship at Indiana University.
• Implemented algorithms to analyze spurious correlations using Google Cloud and BigQuery.
• Developed interactive visualizations with Kinect, enhancing user engagement in social scenarios.
• Collaborated closely with Dr. Francesco Cafaro, gaining insights into advanced data science methodologies.

Sep 2016 – Apr 2017 · 7 mos · Indianapolis, Indiana Area

• Developed open-source Health Information Systems (LibreHealth) to enhance healthcare accessibility.
• Actively participated in business requirement documentation and analysis, ensuring alignment with user needs.
• Created single-page web applications using ReactJS and REST APIs, improving user experience and engagement.
• Utilized GitLab and Docker for efficient deployment and management of health systems, streamlining operations.

May 2014 – Jul 2014 · 2 mos · Hyderabad Area, India

• Conducted in-depth analysis of electronic components for digital filters utilized by the Indian Navy and Air Force.
• Gained hands-on experience with extreme temperature and vibration testing methods to ensure component reliability.
• Collaborated with engineers to enhance testing protocols, contributing to improved quality assurance processes.
• Developed a strong understanding of electronic fabrication processes in a dynamic startup environment.