Headline

Powering Analytics Through Clean, Scalable Data Pipelines

About

I am Rishikesh Kumar, a detail-oriented and analytically driven Data Engineer currently pursuing a degree in Information Technology from Chandigarh University. My expertise lies in transforming complex datasets into valuable insights through robust data pipelines, ETL frameworks, and data warehousing solutions. With a solid foundation in Python, SQL, and data manipulation tools, I have hands-on experience in implementing data-centric projects, including machine learning-based fraud detection systems and scalable data processing pipelines. I am committed to utilizing data engineering techniques to drive data accuracy, streamline workflows, and deliver actionable business intelligence. In addition to my technical acumen, I value effective communication, teamwork, and adaptability, recognizing their importance in fostering productive collaboration across diverse teams. As I continue to advance in the field, I am eager to deepen my expertise in big data analytics, cloud computing, and real-time data processing to contribute meaningfully to data-driven decision-making processes. Let’s connect and explore opportunities to leverage data engineering for impactful business outcomes.

Location

Gurugram

Work experience

Intern - Python Data Engineer at Linkzie Technologies Pvt Ltd, May 2025 - Present · 1 yr 2 mos, Bengaluru, Intern - Python Data Engineer [Linkzie Technologies Pvt Ltd] | [May 2025] – [Ongoing] Developed and optimized ETL (Extract, Transform, Load) pipelines for processing large datasets. Worked with databases such as PostgreSQL, MySQL, or MongoDB to manage and query structured and unstructured data. Implemented data cleaning, transformation, and validation processes using Python (Pandas, NumPy). Assisted in building and maintaining scalable data workflows using Apache Airflow. Collaborated with data scientists and analysts to provide high-quality, well-structured datasets for analytics and machine learning models. Worked with cloud platforms (AWS, GCP, or Azure) for data storage and processing. Gained hands-on experience with big data technologies like Spark or Hadoop. Optimized queries and scripts to improve data pipeline performance. Skills Gained: Python, SQL, ETL, Pandas, Apache Airflow, Cloud Services (AWS/GCP/Azure), Data Warehousing, Big Data Processing

Data Engineer at Linkzie Technologies Pvt Ltd, May 2025 - Present · 1 yr 2 mos, Built automated ETL pipelines using Python and SQL to process 200K+ records daily; improved data validation accuracy by 30% and reduced manual data handling by 60%. Engineered distributed data processing workflows using PySpark on a Data Lake architecture (AWS S3), optimizing processing speed and storage efficiency through partitioning, compression, and adaptive execution. Implemented CI/CD automation across data pipelines, collaborating with DevOps to cut deployment time from hours to under 15 minutes and boost system uptime to 78%.

Software Developer at Freelance, Jan 2022 - May 2024 · 2 yrs 5 mos, India

Education

Bachelor of Engineering - BE, Computer Science, Chandigarh University (CU)

Intermidiate, Science (PCM), Kendriya Vidyalaya Danapur Cantt, Patna