Hi, I'm Akhilesh Jadhav

I'm a versatile Software and Data Engineer with over 3 years of experience building scalable distributed systems that seamlessly integrate front-end, back-end, and data-driven solutions. My expertise spans microservices architectures, RESTful APIs, data pipelines, and cloud-native development across AWS and GCP environments. I have designed and developed high-performance, data-intensive solutions that enhance system reliability, efficiency, and user experience in diverse domains, including fraud detection, workflow automation, and large-scale data processing.

My technical stack includes Java, Python, SQL, React, Spring Boot, and Node.js, complemented by containerization (Docker, Kubernetes) and DevOps automation (CI/CD, Terraform). I have designed and optimized ETL pipelines, real-time data streaming, and event-driven architectures using Apache Kafka, Apache Spark, and Airflow. With hands-on experience in database performance tuning—leveraging PostgreSQL, MySQL, MongoDB, and Redis caching—I ensure efficient data storage, retrieval, and processing for analytics and reporting. Beyond software engineering, I specialize in big data engineering and cloud-based data warehousing, working with Snowflake, BigQuery, and Redshift to transform raw data into actionable insights. Whether it's implementing data-driven decision-making, optimizing large-scale backend systems, or building resilient cloud architectures, I approach each challenge with a focus on scalability, security, and innovation—bridging the gap between software development and data engineering to drive business value.