Abhishek Kumar

• As a Technical Lead and Data Engineer at HCL Technologies, I work on the Microsoft Delivering end-to-end Azure-based data solutions with expertise in Azure Synapse, ADF, Power BI, SQL, Microsoft Fabric, and ETL pipelines. Led successful delivery of multiple Microsoft projects, including large-scale cloud migration and Fabric-based lakehouse development. Skilled in CI/CD (Azure DevOps, GitHub Actions), pipeline monitoring, data validation, and stakeholder collaboration. Designed automated workflows, reducing release time by 40%, and built scalable pipelines for structured/unstructured data across enterprise systems. Developed actionable dashboards in Power BI, improving business decisions and project efficiency.

1. Designed and automated CI/CD pipelines via Azure DevOps & GitHub Actions, reducing release cycles by 40%.

2. Led migration to Microsoft Fabric for improved data performance and cost efficiency.

3. Implemented robust data monitoring and alerting systems, ensuring data quality, pipeline reliability, and adherence to SLAs across enterprise data workflows.

4. Built and managed scalable pipelines for structured/unstructured data using Azure Synapse & ADF.

5. Utilized Power BI to develop interactive dashboards and data visualizations & developed interactive Power BI dashboards to support data-driven decision-making.

6. Ensured data reliability and SLA adherence via robust monitoring and alerting systems.

• As a Python Development Intern at A2IT Pvt. Ltd., Contributed to building automated data processing solutions using Python, while collaborating with senior developers on backend integration and API development. I gained hands-on experience with key libraries such as Pandas, NumPy for data analysis and visualization.

1. Utilized Pandas, NumPy, and Matplotlib to analyze and visualize large datasets, improving processing speed by 30%.

2. Developed and optimized RESTful APIs and integrated SQL databases, reducing data access time by 20%.

3. Processed and analyzed datasets using Python libraries (Pandas, NumPy, Matplotlib), improving data processing speed by 30% and providing actionable insights for reporting.

4. Wrote clean, reusable Python code and debugged existing scripts to enhance application efficiency.

• Designed and developed responsive, user-centric websites with modern front-end and back-end technologies, ensuring performance, security, and cross-device compatibility.

1. Built web applications using HTML5, CSS3, JavaScript, Bootstrap, and PHP/MySQL.

2. Integrated dynamic functionality with PHP and MySQL, enabling interactive user experiences and efficient data management for client projects.

3. Implemented SEO best practices and optimized page load speed across browsers.

4. Ensured mobile responsiveness and conducted testing/debugging for quality assurance