As a Technical Lead (Data Engineer) at Johnson Controls, I am responsible for building data pipelines to process terabytes of data using industry-leading technologies and tools, such as Spark, Snowflake, HBase, Kafka, and Confluent. I have extensive experience in data ingestion, data curation, and ETL processes, as well as real-time data processing and data warehousing. I have successfully implemented streaming use cases with Confluent KSQL, Eventhub, and Spark Streaming, and migrated 100 TB of data from HBase to Snowflake. I have also contributed to the development of a customer data analytics application that improved the performance of a retail management product. I hold a patent for a building management system with optimized processing of building system data, and multiple certifications and awards for my work. I have a Master of Engineering in Data Mining from MIT COE, Kothrud Pune, where I learned how to analyze time series data and extract meaningful statistics and characteristics. I am a problem solver, a self-starter, and a result-oriented professional who values collaboration and innovation. Email : fulsesujit@gmail.com or DM me https://www.linkedin.com/in/sujit-j-fulse