Manikanta G Email and Phone Number

Designed and implemented scalable data pipelines in AWS using Glue, EMR, and S3 for processing large insurance claims and customer data. Leveraged Athena for ad-hoc query analysis and Redshift for optimized data warehousing, enhancing data retrieval speed by 35%. Automated ETL workflows with Lambda and Step Functions, streamlining data integration from various sources and improving fraud detection accuracy. Ensured seamless data governance and compliance with insurance regulations, while… Show more Designed and implemented scalable data pipelines in AWS using Glue, EMR, and S3 for processing large insurance claims and customer data. Leveraged Athena for ad-hoc query analysis and Redshift for optimized data warehousing, enhancing data retrieval speed by 35%. Automated ETL workflows with Lambda and Step Functions, streamlining data integration from various sources and improving fraud detection accuracy. Ensured seamless data governance and compliance with insurance regulations, while reducing data processing costs by 25% through efficient use of EMR and S3 storage solutions. Show less

Developed a robust data architecture using Glue and EMR to process high-volume retail transactions. Utilized Athena for real-time sales insights and Redshift for long-term data storage, reducing query time by 40%. Automated the ETL process with Lambda and Step Functions to ensure seamless integration of customer behavior data into S3, resulting in a 30% increase in operational efficiency and faster decision-making for marketing teams.

Engineered data solutions in Snowflake to manage and process large-scale healthcare datasets, ensuring scalability and compliance with industry regulations. Built automated ETL pipelines using Snowflake’s integration with AWS services, streamlining the ingestion of patient records and clinical data. Implemented data partitioning and clustering strategies, reducing query times by 40% for healthcare analytics. Collaborated with data scientists to support advanced analytics and machine learning… Show more Engineered data solutions in Snowflake to manage and process large-scale healthcare datasets, ensuring scalability and compliance with industry regulations. Built automated ETL pipelines using Snowflake’s integration with AWS services, streamlining the ingestion of patient records and clinical data. Implemented data partitioning and clustering strategies, reducing query times by 40% for healthcare analytics. Collaborated with data scientists to support advanced analytics and machine learning models, improving the accuracy of predictive healthcare outcomes Show less

✦ Designed and set up Enterprise Data Lake to provide support for various use cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data.✦ Created and managed various types of Snowflake tables, including transient, temporary, and persistent tables, to cater to specific data storage and processing needs.✦ Implemented advanced partitioning techniques in Snowflake to significantly enhance query performance and expedite data… Show more ✦ Designed and set up Enterprise Data Lake to provide support for various use cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data.✦ Created and managed various types of Snowflake tables, including transient, temporary, and persistent tables, to cater to specific data storage and processing needs.✦ Implemented advanced partitioning techniques in Snowflake to significantly enhance query performance and expedite data retrieval.✦ Collaborated with cross-functional teams to integrate Splunk with other data platforms and tools, enabling seamless data integration and interoperability.✦ Proficient in Splunk Search Processing Language (SPL) to perform advanced data analysis, statistical calculations, and anomaly detection.✦ Defined robust roles and access privileges within Snowflake to enforce strict data security and governance protocols. Show less

✦ Designed and developed applications on the data lake to transform the data according to business users to perform analytics.✦ In-depth understanding/ knowledge of Hadoop architecture and various components such as HDFS, application manager, node master, resource manager name node, data node, and map-reduce concepts.✦ Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, GitHub, and AWS.✦ Developed data pipeline using flume, SQOOP, pig and map reduce to ingest… Show more ✦ Designed and developed applications on the data lake to transform the data according to business users to perform analytics.✦ In-depth understanding/ knowledge of Hadoop architecture and various components such as HDFS, application manager, node master, resource manager name node, data node, and map-reduce concepts.✦ Involved heavily in setting up the CI/CD pipeline using Jenkins, Maven, GitHub, and AWS.✦ Developed data pipeline using flume, SQOOP, pig and map reduce to ingest customer behavioral data and purchase histories into HDFS for analysis.✦ Used Spark-SQL to load JSON data and create schema RDD and loaded it into Hive tables handled structured data using Spark SQL Show less

✦ Create and maintain databases for Server Inventory, Performance Inventory.✦ Worked in Agile Scrum Methodology with daily stand-up meetings, great knowledge of working with Visual Source Safe for Visual Studio 2010 and tracking the projects using Trello.✦ Deployed the SSIS Packages and created jobs for efficient running of the packages. ✦ Developed ETL processes in C# utilizing features like async/await for scalable data processing.✦ Expertise in creating ETL packages using… Show more ✦ Create and maintain databases for Server Inventory, Performance Inventory.✦ Worked in Agile Scrum Methodology with daily stand-up meetings, great knowledge of working with Visual Source Safe for Visual Studio 2010 and tracking the projects using Trello.✦ Deployed the SSIS Packages and created jobs for efficient running of the packages. ✦ Developed ETL processes in C# utilizing features like async/await for scalable data processing.✦ Expertise in creating ETL packages using SSIS to extract data from heterogeneous databases and then transform and load them into the data mart. Show less

✦ Creation, manipulation, and support of the SQL Server databases. ✦ Involved in the Data modeling, Physical and Logical Design of Database ✦ Helped in the integration of the front end with the SQL Server backend. ✦ Created Stored Procedures, Triggers, Indexes, User-defined Functions, Constraints, etc. on various database objects to obtain the required results.✦ Stayed up-to-date with the latest Splunk features and updates to leverage new capabilities and improve overall system… Show more ✦ Creation, manipulation, and support of the SQL Server databases. ✦ Involved in the Data modeling, Physical and Logical Design of Database ✦ Helped in the integration of the front end with the SQL Server backend. ✦ Created Stored Procedures, Triggers, Indexes, User-defined Functions, Constraints, etc. on various database objects to obtain the required results.✦ Stayed up-to-date with the latest Splunk features and updates to leverage new capabilities and improve overall system performance.✦ Import and export of data from one server to other servers using tools like Data Transformation Services (DTS) ✦ Supported team in resolving SQL Reporting services and T-SQL-related issues and was Proficient in creating different types of reports such as Crosstab, Conditional, Drill-down, Top N, Summary, Form, OLAP, and Sub reports, and formatting them. Show less