* Developed and deployed high-quality Java applications and end-to-end APIs using Spring Boot, emphasizing Object-Oriented Programming (OOP) and SOLID principles for robustness and efficiency.

* Designed and implemented scalable backend solutions with gRPC, ensuring optimal performance and reliability.

* Containerized applications using Docker and efficiently managed them through Kubernetes for seamless scaling and maintenance, minimizing operational complexities.

* Created a Grafana dashboard integrated with Prometheus metrics to monitor application performance proactively, enabling issue identification and resolution.

* Adhered rigorously to industry best practices, including clean code principles, Test-Driven Development (TDD), and pair programming, maintaining high code quality and fostering robust communication within the development team.

* Spearheaded the development and implementation of CI/CD pipelines, expediting deployments and reducing deployment times for rapid project delivery and efficient project management.

* Authored comprehensive unit, mutation and integration tests, resulting in expanded code coverage and highly reliable applications meeting stringent quality standards.

Managed ETL processes using Azure Data Factory, Data Lake Storage, SQL Server, and Azure Databricks, focusing on data ingestion and timed triggers.

Skillfully handled dependencies and complex scenarios using SQL stored procedures and algorithms, like topological sorting.

Optimized cluster performance and reduced costs by transitioning from interactive clusters to job clusters in ADF, resulting in 50% faster performance and cost savings.

Implemented advanced optimization techniques in Azure Databricks, such as data partitioning, Z-Ordering, and memory management, to improve execution speed and overall performance.

Created a custom validation framework that can run the critical validations which cannot be possible throughlibraries like great expectations.