Seathu Chandu Email & Phone Number

IT specialist with a focus on database management, data processing, integration, modelling, storage analysis, ingestion, acquisition, and ingestion of big data.Proficiency in creating dynamic dashboards and reports, as well as doing impromptu analysis and generating visual representations utilizing Tableau, Power BI, Arcadia, and Matplotlib.Hands-on experience developing, implementing, deploying, and maintaining applications utilizing Spark and Hadoop-based technologies such as Hortonworks, Cloudera, Amazon EMR, and Azure HDInsight. Hands-on experience building cloud-based pipelines and Spark applications using AWS cloud services, utilizing EMR, and Redshift.Designed and implemented robust data pipelines using AWS services such as AWS Glue, AWS Lambda, and Amazon S3 to seamlessly ingest, process, and store data from various sources via Fivetran.Utilized Fivetran to integrate diverse data sources into Amazon Redshift, ensuring real-time data synchronization and maintaining data integrity across different systems.Automated ETL workflows by configuring Fivetran connectors to extract data from cloud-based applications, databases, and SaaS platforms, transforming and loading it into target AWS data lakes and warehouses.Has built data pipelines with Azure Data Factory and Azure Databricks; proficient in managing database access and loading data into Azure Data Lake, Azure SQL Database, and Azure SQL Data Warehouse. Extensive hands-on expertise with NoSQL databases and how they integrate with the Hadoop cluster, including Cosmos DB, HBase, Cassandra, and MongoDB.