Mounish Kumar Kalluri

Experienced Data Engineer with 6+ years of expertise designing, developing, and optimizing large-scale data pipelines across Azure, AWS, and GCP cloud platforms. Strong hands-on experience in ETL/ELT development using Informatica IICS, Informatica PowerCenter, Azure Data Factory, Talend, and Apache NiFi. Proficient in building distributed data processing solutions using Spark, PySpark, Scala, Databricks, and Hadoop ecosystem tools including Hive, HDFS, Oozie, MapReduce, and Kafka. Designed and implemented cloud-native data architectures leveraging Azure PaaS, AWS EMR/Glue/Lambda, and GCP BigQuery/Dataflow/Composer for scalable analytics platforms. Demonstrated ability to optimize big data workloads, tune Spark/Databricks clusters, and improve performance of large-scale batch and streaming pipelines. Strong background in data modeling, dimensional modeling, SCDs, and schema design using ERWIN and best-in-class warehouse practices. Skilled in automation and DevOps integration using Python, Shell scripting, Jenkins, Git, Docker, and Kubernetes to streamline CI/CD, validation, and monitoring workflows. Hands-on experience working with NoSQL databases (HBase, Cassandra, MongoDB) and relational systems such as Oracle, SQL Server, MySQL, DB2, and Snowflake/Redshift. Delivered business insights through interactive Tableau dashboards, improving decision-making and operational reporting across multiple business domains. Adept at migrating legacy ETL pipelines to modern cloud platforms, improving data quality, reliability, and processing speed across enterprise data environments.