Rajat is a results-oriented and versatile Data Engineer / Machine Learning Engineer (MLOps) with 5+ years of work experience in writing ETL and data pipelines, and deploying ML models. He is talented in solving real-world challenges with business & analytical acumen. He has experience in strategy, business process & operations across industries. Rajat is proficient with open source tools, APIs & handling all stages of data science lifecycle: problem definition, extract data, EDA, data transformation, feature engineering & modeling to improve performance. He has strong hands-on experience in Python, SQL, Tableau, Spark, Docker, AWS & GCP cloud. He has also coached analysts and fellow data scientists in Data Analytics, Big Data, engineering best practices, and quantitative modeling techniques
Hire RajatSelect Environment & Tools Used: Python, Spark, Scala, Azkaban/ Airflow, SQL, Tableau, AWS (Sagemaker, EMR, EC2, EKS), Docker, Kubernetes
Select Environment & Tools Used: Spark, Scala, Python, Azkaban/ Airflow, SQL, Data Studio, CI/CD (Jenkins), Docker
Environment & Tools: SQL / Database, R, Python, Tableau, Advanced Excel, PowerPoint, Java, Unix