Suhas Satish

At Confluent, I'm leading world-class, high-performing engineering teams driving innovation to build next generation Flink streaming and batch processing systems and agentic AI workflows. My role spans across people management, driving technical strategy, execution, interfacing with customers, hiring and more. I'm able to seamlessly work across product and platform organizations to orchestrate large scope projects that significantly improve and achieve engagement and adoption driving bottom-line business revenue. 15+ years of experience in distributed systems and machine learning. Previously, I was an open source developer and contributor to Apache-licensed Hadoop ecosystem components Hive-on-Spark, Pig, Sqoop, Flume and Hue. Interested in agentic worflows, RAG, generative AI apps, big data applications in machine learning, distributed computing, search, building ETL data pipelines, data mining, analytics, visualization, information retrieval, data modeling techniques, natural language processing, text, voice & image processing, deep learning. - Programming languages: proficient in SQL, Python, Java; Have also written production code in Scala, Ruby - Web Frameworks: Python-django, Spring, Hibernate, Rails, flask - Databases: Hive, Greenplum, Redshift, RDS, HBase, MongoDB, Redis, MySQL, Kafka, Google BigQuery, apache feast (feature store) - Distributed computing: Hadoop, Spark, Spark-Streaming - Machine learning: Scikit Learn, SparkML, tensorFlow, pyTorch - Search: Lucene, Solr, Elasticsearch - Web servers: Tomcat, Jetty, Nginx - Container & pipeline orchestrators: kubernetes (spinnaker, helm charts, terraform, operators), docker, airflow, oozie - Cloud: Amazon EC2, S3, EMR, AWS Data Pipeline, SNS, Docker, Sagemaker, amazon route 53, lambdas