Srinath Ananthula

• Built robust Azure Data Factory pipelines, seamlessly integrating data from InfluxDB to Azure Data Lake.
• Optimized resource usage and cut costs through strategic management and cleanup.
• Introduced dynamic visualizations for battery KPIs, leveraging DAX for insightful reporting.
• Launched Synapse workspaces to streamline client data filtering and daily refreshed views, connected to Power BI.
• Automated alarm data extraction from InfluxDB using custom scripts and Python automation.
• Developed Dagster pipelines for complex KPI calculations and data backfilling, integrating with Azure CosmosDB.
• Created Azure Functions for real-time data monitoring and backfill processes.
• Deployed InfluxDB clones on Docker to expedite data backfilling.
• Leveraged Terraform for scalable Azure instance creation.
• Conducted in-depth analysis and forecasting to ensure optimal battery performance.
• Established guidelines for efficient data extraction and usage.
• Implemented TimescaleDB on the cloud for enhanced data management.
• Delivered comprehensive KPI reports, keeping clients informed with incremental and monthly updates.
• Defined essential networking protocols for seamless Azure operations.

• Participated in design, development, implementation and delivery of optimized BI and Data warehouse solutions using Microsoft Azure, SQL Server, and Oracle Databases
• Interacting with Business users to assess requests, set priorities and meeting expectations
• Maintenance of existing BI applications in collaboration with the DBA, Architects and Analysts
• Building the prototype for the upcoming projects by using Azure Data factory, Azure DevOps, BIML Flex, Visual Studio
• Collaborated with cross-functional teams to identify business requirements and translate them into technical specifications.
• Developed strategic reports for executive decision-making using advanced data visualization techniques.
• Prepared targeted documentation, specifications, and resources to analyze business data.

• Developing innovations & insight across the business, analyzing the business model, and looking at the development tasks
• Developed testing scripts scenarios in SQL Server management studio, Toad to ensure programming / configuration has been done in accordance with functional specifications and business requirements
• Responsible to document Bl needs in Confluence and evaluate project opportunities, liaise between the end users, the business SMEs, and the BI project team
• Responsible for gathering Bl-related business requirements, develop and plan, including functional, nonfunctional, dashboards/reports, operational, service level and performance requirements from business stakeholders via various mediums such as user workshops, product / prototype demos, interviews, surveys, and others

• Company Overview: Data Engineer
• Migrated packages from SSIS to Azure Data Factory
• Developed Integration approaches using Azure Data Factory for business reports
• Automated Full/Incremental Daily Loads using Azure Data Factory, followed by alerts and client communications using SendGrid and various manual tasks
• Implemented Azure Logic Apps for various business requirements
• Developed SQL scripts with HTML & CSS for various client daily delivery reports, reconciliation mails using Azure Web activities and Web hooks
• Implemented Python scripts for fetching data from different API's
• Developed Error Handling and implemented logs using azure activities
• Monitored production pipelines on Azure Data Factory and initiated corrective actions based on performance and automations
• Load incremental data into big query stage, and load data from stage to target database
• Schedule hourly load jobs in UNIX and implemented logging
• Data Engineer
• Core Competencies: Data Warehousing & Development, Cloud Integration & Automation, Stakeholder Management, Troubleshooting & Management, Subject Expertise & Performance Optimization, Load Monitoring, Scheduling ETL Jobs, Error Handling