Shreyas Gopi Koundinya

• Built and enhanced data pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake, and Blob Storage • Developed PySpark jobs for large-scale data transformation, segregation, and enrichment of financial and crime-related datasets • Used Python for data ingestion, pipeline logic, and integration, with PySpark handling distributed processing • Implemented modular, reusable transformation logic aligned with enterprise data frameworks (JTMF) • Integrated monitoring and observability using Datadog to track pipeline health and performance • Supported SIT and UAT cycles to ensure pipelines were stable, compliant, and production-ready

• Created a staff login/logout system using Python and Google Sheets to reduce errors and make tracking easier. • Automated payroll reports, saving the management over 10 hours each week. • Built an inventory app with Flask and PostgreSQL to track stock and reduce waste. • Set up automatic backups and notifications to protect data and keep the team updated. • Helped improve how data is collected and reported to support better decisions. • Worked closely with the owner to make sure the tools fit the business needs.

• Built cloud-native ETL pipelines using AWS Glue, Lambda, Redshift, and Azure Data Factory, Blob Storage. • Used Apache Airflow to orchestrate 20+ workflows with retries, SLAs, and alerting. • Created modular data models and transformations using dbt with Snowflake and Redshift. • Processed large-scale batch and streaming data using PySpark on Databricks. • Developed streaming pipelines with Kafka and Kinesis for real-time processing. • Built backend APIs with Python frameworks like FastAPI, Flask, and Django. • Worked with relational and NoSQL databases including PostgreSQL, MongoDB, and DynamoDB. • Automated CI/CD using GitHub Actions and infrastructure as code with Terraform and CloudFormation. • Implemented monitoring and logging with CloudWatch, Datadog, and Azure Monitor.

• Deputed to EY as a contractor, later absorbed by EY on direct rolls. • Skilled in streamlined data collection, analysis, and Excel automation. • Experienced Python Flask and Django Developer, adept at backend development, API integration, and creating user-friendly applications with clean code practices.

• Developed Python scripts for data modeling and statistical analysis using NumPy and pandas. • Implemented regression models to analyze and interpret data for AI and ML applications. • Collaborated with team members to optimize algorithms for data-driven innovations.

• Developed dynamic user interfaces using JavaScript, Node.js, and React.js for modern web technologies. • Built scalable applications and software architecture as an experienced .NET Developer. • Expertise in database integration and deployment for iNube Software Solutions Pvt Limited in Bengaluru, India.