About

Rahul Pandit is a highly skilled Data Platform Engineer-2 at Junglee Games with almost 3 years of relevant experience. He is responsible for maintaining ELT frameworks, administering and maintaining data engineering pipelines, and creating Airflow DAGs to run Daily and Adhoc Load jobs for the consumption of Power BI reports. He is also proficient in creating Clusters on Databricks to run jobs for data developers. Rahul has a strong technical background in backend technologies such as Django and Flask, and front-end technologies such as JavaScript, Bootstrap, HTML, and CSS. He is also skilled in data visualization using Matplotlib, Seaborn, folium, and PowerBI, and data analysis using Pandas and NumPy. He has experience working with databases such as MySQL, MongoDB, and Postgresql, and operating systems such as Microsoft Windows, Linux, and UNIX. He is also proficient in frameworks and tools such as Flask, TensorFlow, Scikit-Learn, NLTK, Selenium, BeautifulSoup, Spark, Kafka, and Apache Airflow. Rahul's strongest areas of expertise are PowerBI, Selenium, BeautifulSoup, Django, Flask, Apache Airflow, Spark, ETL, AWS, and GCP. He has experience working with Gitlab ci/cd pipeline and has a Github profile with a variety of projects. Rahul has worked on analyzing existing SQL queries for performance improvements and has developed high-quality database solutions. He has also migrated all the Store-procedure and Kpi Tables from SqlServer into Athena using Airflow, Spark, and Kafka. Rahul has previously worked at Infoobjects Inc. as a Data Engineer and at Metaorigin Labs as a Software Engineer (Big Data). He has a Bachelor's degree in Computer Software Engineering from Rajasthan Technical University, Kota. In summary, Rahul Pandit is a highly skilled Data Platform Engineer-2 with expertise in various technologies such as AWS, Apache Airflow, Spark, SQL, Amazon Athena, Databricks, ETL, Flask, Kafka, and Big Data. He has relevant experience of almost 3 years and has worked on various projects related to data engineering and analysis.