🚀 Hi, I’m Rishit—a passionate Data Engineer specializing in building scalable data pipelines and crafting solutions that transform raw data into impactful insights. I have hands-on experience with tools like Apache Spark, Kafka, Airflow, Docker, and databases like PostgreSQL, Cassandra, and Elasticsearch. 💻 My technical toolkit includes Python, Java, and Scala, paired with expertise in cloud platforms like AWS and GCP. I thrive on optimizing workflows and designing efficient architectures for both batch and real-time data processing. 🏆 Some highlights of my work include reducing ETL processing time for 100GB/day data from 24 hours to just 3 hours, handling 5,00,000 records/day in real-time streaming pipelines, and automating validation for 20,000+ weekly signal meter images with an 82% efficiency boost. 🌱 I’m passionate about solving complex problems and continuously learning. Currently, I’m exploring advancements in real-time analytics and cloud-native architectures to stay at the forefront of innovation. 📬 Let’s connect to discuss data engineering, real-time systems, or anything tech!