About
Highly skilled Software Engineer specializing in Data & Automation, with proven expertise in developing scalable data pipelines, deploying machine learning models, and optimizing enterprise systems. Adept at leveraging Python, SQL, FastAPI, AWS, and Azure to drive significant reductions in manual financial workflows and enhance system performance. Seeking to apply advanced data engineering and machine learning capabilities to solve complex challenges in a dynamic technical environment.
Work
Bengaluru, Karnataka, India
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Summary
As a Software Engineer in Data & Automation Engineering, Amit engineered scalable data pipelines and deployed machine learning models, significantly reducing manual financial workflows and enhancing data availability.
Highlights
Engineered and optimized 15+ scalable data and automation pipelines using Python, SQL, and FastAPI, resulting in a 60% reduction in manual financial workflows.
Developed robust ETL pipelines for ingesting batch and real-time data from diverse sources including SAP S/4HANA, Excel, and Azure, significantly enhancing cross-platform data availability across enterprise systems.
Deployed advanced machine learning models, including regression and anomaly detection, utilizing scikit-learn and Pandas to deliver predictive analytics capabilities for critical financial operations.
Managed and maintained PostgreSQL and AWS-hosted data pipelines, ensuring production-grade reliability, fault-tolerance, and seamless cloud interoperability for critical systems.
Developed production-ready RESTful APIs and automated CI/CD pipelines, streamlining ML workflows and enabling end-to-end service orchestration.
Assumed full ownership of the entire data pipeline lifecycle, including deployment, monitoring, versioning, and error recovery, ensuring high availability in high-volume production environments.
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Summary
As an SAP ABAP Consultant for a Data Optimization Project, Amit refactored over 500 ABAP programs and applied structured data analysis to improve the performance, throughput, and stability of critical financial reporting modules.
Highlights
Refactored over 500 ABAP programs to ensure alignment with SAP S/4HANA standards, significantly improving the performance of critical financial reporting modules.
Utilized structured data analysis and advanced debugging techniques to enhance system throughput, stability, and long-term maintainability of enterprise applications.
Languages
English
Skills
Machine Learning & Data Science
scikit-learn, TensorFlow, Pandas, NumPy, Regression Models, Classification Models, Data Validation.
Visualization & Business Intelligence
Tableau, Power BI.
DevOps & CI/CD
GitHub Actions, API Versioning, Monitoring, Unit Testing.
Programming Languages & Tools
Python, SQL, Java, Scala, ABAP, TypeScript, C++, JavaScript, FastAPI, REST APIs, Git, Docker.
Big Data & Cloud Platforms
Spark, PostgreSQL, AWS, Azure.
Soft Skills
Product Ownership, Problem Solving, Business Data Intuition, Agile Methodologies, Cross-functional Collaboration.