I am a data engineering consultant at GlobalLogic with over 13 years of experience designing and developing data pipelines, databases, and business intelligence solutions for various industries. I have earned multiple credentials demonstrating my proficiency and expertise in data and cloud technologies, including Microsoft Certified Data Engineer, Google Cloud Certified Associate Engineer, and MongoDB Certified Developer. I have conducted more than 500 interviews, including college drives at IITs and NITs, referred more than 3000 candidates, and provided career and interview guidance to more than 500 aspirants. My core competencies include working with data engineering and big data ecosystems, such as Hive, Spark, Spark SQL, Sqoop, and PySpark, as well as Python, Shell Scripting, PL/SQL, and SQL. I have also used Databricks, Informatica, Snowflake, Tableau, and Airflow to create, manage, and visualise data. Additionally, I have experience with cloud modules of different cloud vendors, such as AWS, Azure, and GCP. I have good domain knowledge of the media, banking, EdTech, E-commerce and finance industries. I am skilled in process optimisation, Agile methodology, requirement gathering, and supporting business users with data and BI solutions. My mission is to help clients leverage data and analytics to achieve their goals and improve their performance.