Jitesh Lodhwal

Accomplished Big Data Developer with extensive experience in big data technologies, including HDFS, MapReduce, Yarn, and Hive. Proven track record of enhancing data accuracy and streamlining ETL processes while working with prominent clients such as TCS, Standard Chartered Bank, and Axis Bank. Adept at leveraging tools like Spark SQL, Apache NIFI, Airflow and Azure Databricks to drive data-driven insights. Skilled in Python programming, machine learning, and big data analytics. Expertise in data ingestion, processing, and analytics using Hadoop (HDFS, MapReduce, Hive, Spark, NiFi) and cloud platforms. ● Hands-on experience ingesting data from MySQL to HDFS using Sqoop, processing in Hive/HBase, and optimizing queries via partitioning and bucketing. ● Proficient in Python and Scala for data processing, automation, and Apache Spark (Spark SQL for structured/semi-structured data). ● Strong SQL skills, performance tuning, and NoSQL experience (MongoDB) for large-scale data modeling and querying. ● Skilled in ETL orchestration with Apache Airflow and cloud services (AWS: S3, EMR, Athena, EC2, Lambda, RDS | Azure: Data Factory, Blob Storage, Synapse, Databricks). ● Solid understanding of HDFS architecture, cluster optimization, and Agile collaboration.