Manikanta P

Senior Data Engineer @Huntington National Bank

Columbus, OH, US

Built models utilizing statistical methods like Bayesian HMM and machine learning classifiers, including XGBoost, SVM, and Random Forest.Deep understanding of information security, data modeling, and RDBMS principles.Integrated Spark with MySQL using connectors such as Spark-MySQL and JDBC to store processed data in MySQL.Created and automated MySQL tables and pipelines to ingest data from Kafka topics.Completed an immersive Data Science program covering data manipulation, visualization, web scraping, machine learning, Python programming, SQL, GIT, UNIX commands, NoSQL, MongoDB, and Hadoop.Developed ETL applications for large datasets using tools like MapReduce, Spark-Scala, Hive, PySpark, Azure Databricks, Data Factory Spark SQL, Azure HDInsight, and Pig.Led activities to establish and maintain a data and process governance framework.Utilized external data providers to classify MDM data components (e.g, customer categories).Built DataStage jobs with stages like Transformer, Aggregator, Sort, Join, Merge, Lookup, and others.Conducted data manipulation, preparation, normalization, and predictive modeling.Integrated the RSA Archer tool with external data sources for consolidated information.Experienced in ETL application development with IBM Infosphere for data staging.Configured data storage and analysis tools within AWS infrastructure.Modeled data warehouses in Snowflake for various datasets using WhereScape.Developed Teradata procedures to load data into dimension/fact tables using WhereScape RED.