Srikanth M

About Srikanth M

Professional Summary:Experienced IT professional with over 11 years of expertise specializing in big data/ETL solution development, data visualization, and reporting within Azure and SQL environments. Proficient in leveraging Azure cloud platform services for comprehensive data solutions, including Azure Data Lake, Databricks, Blob Storage, Azure Data Factory (ADF), Synapse, and Analytics. Skilled in designing, developing, and testing ETL jobs for Data Warehouses and Azure Data Marts, employing both traditional and innovative methodologies. Demonstrated ability in SQL database migration, management, and seamless data integration. Adept at utilizing Hadoop ecosystem components, Spark SQL, and Python for advanced data processing and analytics.Technical Skills:Data Warehousing & Business Intelligence: SQL Server BI (SSIS, SSRS, SSAS), Data Warehousing MethodologiesAzure Cloud Services: Azure Data Factory, Azure Synapse, Databricks, Azure Data Lake, Azure SQL, Azure DevOps, SparkReporting & Visualization Tools: Power BI, SSAS, Crystal Reports, ExcelDatabase Management: MS SQL Server, MySQL, PostgreSQL, RDBMS, Teradata, OracleProgramming Languages: Python, SQL, T-SQL, PL/SQL, HTML, XML, JavaScript, CSSBig Data & Cloud Technologies: Apache Hadoop, Azure HDInsight, Azure Machine Learning, Apache AirflowDatabase Optimization & Management: SQL Server Performance Tuning, Azure SQL, Database Sharding, Replication StrategiesPython Programming & Libraries: Matplotlib, NumPy, Pandas, SQLAlchemySQL Development: T-SQL, SQL Server Integration Services (SSIS)Data Modeling & Analytics: Data Modeling, Schema Design, Python for Data AnalyticsCloud Security & Compliance: Azure Security Best Practices, Secure Data Solutions in AzureCertifications:DP-900 Azure Data FundamentalsDP-203 Azure Data EngineerEducation:Master of Computer Applications (MCA), Kakatiya University, Warangal, India (June 2006 – Aug 2009)Bachelor’s Degree, General Science, Nagarjuna University, Guntur, India (June 2003 - June 2006)

Experience

1. Senior Data Engineer

   Blueprint

   Apr 2023 — Present · NJ, US

   Developed advanced data solutions utilizing Azure PaaS for enhanced data visualization and business operation integration. • Implemented robust data security measures, conducted extensive master data pipeline performance monitoring, and engaged in performance tuning and capacity planning. • Authored and managed SQL scripts for system migration and data transfer to Azure DB. Established and maintained the Azure Data Catalog for enterprise-wide metadata management. •Designed and maintained custom monitoring dashboards using Azure Monitor and Power BI. Managed diverse reporting requirements across various business domains. • Prepared comprehensive Business Requirement Documents, Data Mapping Documents, and Functional Design Documents. Interacted with business users to gather detailed requirements for Power BI report development. • Employed Azure Purview for effective data governance, managing credentials, access, and data source registration. Utilized Purview Studio for asset browsing and glossary exploration. • Integrated Azure Purview with services like Synapse Analytics and Power BI for enhanced ETL pipeline construction and data governance. • Utilized REST APIs, including Apache Atlas API, for advanced operations and customizations in Azure Purview. • Managed Azure Data Factory capabilities and integrated it with Azure Data Lake Storage Gen2 for efficient data pipeline creation and ETL processes.Integrated Azure Machine Learning with Databricks for advanced data analytics and machine learning applications. Managed clusters, data flows, and analytical processing. • Developed solutions for real-time data processing and IoT analytics using Azure services. Created IoT hubs and Power BI dashboards for real-time data visualization. • Implemented DevOps and CI/CD methodologies in Azure, focusing on Azure DevOps pipelines and release management. • Engaged in complex data analytics solutions, focusing on big data processing, advanced data storage, and encrypti

Education

• Kakatiya University

  Master of Computer Applications - MCA