Experienced Data Engineering Professional with a proven track record of 13 years in delivering robust data solutions to drive informed business decisions. Expertise spans diverse sectors including E-commerce, Banking, Healthcare and Oil & Energy. Proficient in end-to-end data lifecycle management, encompassing data ingestion, processing, and analytics using cutting-edge tools like Apache Spark, Hadoop Ecosystem, and Agile practices. Skilled in architecting, developing, testing, and deploying scalable data infrastructure and pipelines. Profound command over a wide range of technologies, including Hadoop, PySpark, NiFi, Informatica IICS, Google Cloud, and Microsoft Azure. Adept in orchestrating data workflows with Airflow and Kubernetes, while embracing DevOps principles for seamless integration. Passionate about fostering connections, I thrive on engaging discussions about Data Technology, Artificial Intelligence, Machine Learning, and Cloud Innovation. Reach out for insightful conversations or consultations related to any of these areas. Data Engineer as a career Data Engineering Interview Preparation & tips One to One Mentorship in Data Engineering Salary Negotiation Career Advice and many more Core Competencies: Data Engineering & Cloud Solutions Google Cloud Platform (GCP) & Microsoft Azure Azure Data Factory & Databricks Azure ADLS Gen2, Blob Storage & Databricks Terraform & PySpark Hadoop Ecosystem & Scala Python Programming Apache Airflow & Rundeck NiFi & GitHub Agile Methodology & Scrum DevOps Practices with Jira & Git