Leading the development of 15Five's Data Platform enabling AI-driven Strategic-HR and Performance management products.15Five's strategic performance management platform drives action and impact, helping businesses and their people thrive. Combining generative AI, custom analytics and human-centered principles, HR leaders can accelerate engagement, performance and retention via 360° performance reviews, engagement surveys, goal tracking, manager development, and ongoing feedback tools like 1-on-1s and check-ins.

Dataminr is the world's leading AI platform that detects the earliest signals of high-impact events and emerging risks from publicly available information. • Served as Subject Matter Expert for Apache Kafka-based data ingestion infrastructure• Designed and built the data ingestion infrastructure and data warehouse for the data analytics team, enabling the creation of essential reporting dashboards for stakeholders• Developed and implemented ELT-based ingestion and processing for multiple datasets using Snowflake and dbt• Developed and maintained the company’s business intelligence data warehouse in Snowflake, dbt, and Terraform• Developed CI/CD pipeline for data ingestion infrastructure, including ZK, Apache Kafka, Kafka Connect, and MirrorMaker, cutting development and deployment time by 50%• Led cost optimization efforts on the infrastructure and data warehouse, achieving annual savings of over $250,000 in infrastructure and compute expenses• Developed a data/log pipeline to transport logs from various AI/ML models to the data warehouse, supporting AI teams in conducting A/B testing for their models• Led the company’s regionalization initiative in the EU of the Data platform's ingestion infrastructure, facilitating the company’s market growth into the European Union• Collaborated cross-functionally to maintain data quality and privacy, and to facilitate the delivery of new datasets• Spearheaded the improvement of company data quality through the implementation of Data Contracts• Provided mentorship to the team, fostering skill development and enhancing team efficiency and performance- Technologies: Snowflake, dbt, AWS, Apache Kafka, Terraform, Airflow, Python, Java (Spring Boot), Docker, AWS ECS, Databricks, Data Contracts, Delta Lake, Apache Iceberg, Fluentbit

Built Data Warehouse for a large online learning management system and assessment service• Designed and built a data warehouse encompassing 14,000 institutions and over 350,000 students, facilitating evaluation and analytics of content usage for content, product, and sales divisions• Redesigned the data streaming process, utilizing Kafka for data transfer from Couchbase to the data lake, optimizing change data capture. This revamp eliminated an extra Couchbase node and cut database licensing expenses by 14%• Developed a Java-based microservice to transfer historical student records to Amazon S3, achieving a 40% reduction in cache and memory utilization• Created and managed ETL processes utilizing tools such as AWS Glue (Spark), Athena, Kinesis, S3, and Apache Airflow for efficient job orchestration• Spearheaded the integration of Kafka and Kafka Connect for Change Data Capture and enhancement of subsequent downstream functionalities- Technologies: Kafka, Glue, Athena, Redshift, Airflow, S3, RDS Aurora, Lambda, SQL, Python, Java, Spring Boot, Parquet

Built ETL processes for a publisher-based ad network- Hadoop, Hive, Flume, Python, Shell, Linux, ORC

Built the next generation big-data processing pipeline for reporting and business intelligence for a video advertisement network- Amazon Web Services, EMR, Flume, PrestoDB, Hive, Sqoop, Parquet, Airflow, S3, Looker, Python, Shell, Linux, Redshift, Looker, Redash

Built a reporting system for 100+ external publishers and internal teams, saving costs on programmatic revenue and eliminating approximately 80 hours of manual work each month for programmatic, business intelligence, and yield optimization teams.