Ritesh Kumar

Accomplished Lead/Senior Data Engineer with 10 years of experience architecting, developing, and optimizing scalable, reliable, and cost-efficient data platforms across batch and streaming environments. Highly adept in Databricks, Apache Spark, PySpark, SQL, Python, and modern cloud data warehousing technologies across AWS, Azure, and GCP. Proven experience collaborating with business stakeholders, product owners, and cross-functional teams to gather requirements, conduct discovery sessions, participate in architecture reviews, and translate complex business needs into scalable, production-grade data solutions. Skilled in designing end-to-end pipelines, implementing SCD Type 2 Delta architectures, and building enterprise-grade ETL/ELT workflows using Airflow and dbt. Experienced in leading technical initiatives, mentoring engineers, and driving solution design discussions for large-scale data platforms. Expert at integrating AI/ML-driven tooling for data quality, anomaly detection, documentation, and developer productivity, accelerating delivery timelines and enhancing platform reliability. Proficient in Git-based version control, CI/CD automation, testing, monitoring, and operational excellence. Recognized for stakeholder management, cross-functional leadership, and delivering high-impact data solutions that align technical capabilities with business objectives.