About

Kunal Mishra is an experienced ETL Developer and Data Engineer with a strong background in working with Banking and Retail clients in the IT industry. He is currently working as a Data Engineering Mentor at topmate.io, where he provides 1:1 mentorship, mock interviews, career guidance, interview preparation, and resume review services. Kunal is a highly motivated and driven individual who is always looking to improve his skills and stay up-to-date with the latest industry trends. He is a certified Python programmer and has also been certified twice in Databricks and AWS. Kunal is a hardworking and driven person who feels empowered guiding others in the team with his technical expertise and is also a good communicator. Kunal has worked with various ETL tools such as Ab Initio and DAG Orchestration tools like Airflow. He also has experience working with big data processing frameworks like Spark and programming languages like Python and Pyspark. He has worked with databases such as Teradata and Oracle and analytical tools like Hive, Amazon Redshift, and Snowflake. Kunal is also proficient in operating systems like Unix and Shell Scripting and scheduling tools like Control Centre and Automic. He has experience working with cloud tools like AWS, including EC2, S3, Databricks, Delta, Glue, and Athena. Kunal has previously worked as a Senior Data Engineer at lululemon and as a Data Engineer at brilio. At brilio, he worked on the Datalake project where he ingested data from multiple systems into Datalake post-transformation. He also developed automation scripts in Python to extract data from a large number of tables from the source system using Sqoop and ingest data into their Data Lake. He created Data Pipelines in Airflow to run the Sqoop Scripts and Python Scripts and analyzed data in Hive. Kunal has a Bachelor's degree in Mechanical Engineering from the Institute of Technical Education & Research and a Science degree from DAV Public School. He has relevant experience of 9.37 years and is proficient in various technologies such as Data Engineering, AWS, Apache Airflow, Databricks, Python, ETL, Spark, SQL, Snowflake, Amazon Athena, Big Data, Apache Hive, Integration, Data Warehouse, Research Scientist, Web, and Software Engineer.