"One who can handle huge amounts of data and has the ability to analyze it effectively can uncover valuable insights, driving informed decision-making and fostering innovation in any organization." This belief has driven my journey into the world of data, uncovering patterns and principles through storytelling. Hi, I'm Hitesh, an Analytics Engineer at SingleStore. In the product team, I've developed sophisticated adoption metrics to quantify user behavior, employed clustering algorithms to segment customers, and used RFM analysis to predict churn and identify potential customers. My work involves creating insightful Tableau dashboards and optimizing incident tracking. Collaborating with product managers, I implement metrics and train ML models on normalized data for enhanced insights. My background as a data engineer allows me to not only analyze and predict metrics but also manage data workflows, including data ingestion, scheduling refreshes, maintaining schemas, and normalizing tables. Previously, as an SDE2 focused on data engineering, I orchestrated AWS data pipelines, step functions, and gained experience with Snowflake and Databricks. I managed quarterly data product releases, enhancing efficiency through scalable technologies and AWS cloud architecture. My expertise includes data pipeline creation, AWS migration, trend querying, and using Python and Java with Spark and AWS to build scalable frameworks. Specializing in Python data automation, I've designed a scalable framework (Spark-implemented) to test and analyze large datasets. I have hands-on experience with GIS (geospatial operations), Spark, PySpark, AWS services, and SQL. I excel in self-learning, implementing, and deploying high-quality solutions.