Product & data leader with eight years of experience in the data space. I spent most of my career designing and building petabyte-scale data platforms in multiple industries (AdTech, SaaS, and Finance) while switching between various hats (data engineer, tech lead, data architect, and ML Ops engineer). After seven years on the engineering side, I transitioned into the product realm to build products that can help companies extract more value out of their data. I actively contribute to the discussions in the data space via my articles on Medium, public speaking at different conferences, authoring online courses, and the Data Espresso newsletter. In my free time, I also constantly experiment with (and contribute to) open-source projects. Experienced in product management, building data products, Big Data architectures, Cloud technologies (AWS, GCP), dbt, Apache Spark, the Hadoop ecosystem, Apache Airflow, BigQuery, Snowflake, ML Ops, Apache Superset, Notebooks (Jupyter/Zeppelin/nteract), NoSQL databases, SQL/Python/Java, and distributed architectures.