Charming Pascal
About me: Arjun Ratnakumar is an experienced Data Engineer with over 6 years of expertise in building robust data pipelines, applying statistical analysis, and leveraging Python for data processing and visualization. He is highly skilled in tools like PySpark, SQL, Snowflake, and Oracle, and proficient in creating scalable solutions using Docker and managing code with Git/GitHub. Arjun has worked on optimizing query performance, automating critical business processes, and developing ETL workflows for large-scale data migrations. His academic background includes a Post Graduate Program in Data Science and a Bachelor's in Electronics and Instrumentation Engineering. He currently works at TCS as a Data Engineer and previously served as a Research Fellow at DRDO. His strengths lie in automation, data validation, and insightful data storytelling through tools like Seaborn and Plotly, enabling informed decision-making for stakeholders.
Total Score: 32
Homework submissions
Homework 1: Docker, SQL and Terraform
Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 2: Workflow Orchestration
Score: 5 = 5 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Workshop 1: Ingestion with dlt
Score: 4 = 4 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 3: Data Warehousing
Score: 7 = 7 (questions) + 0 (FAQ) + 0 (learning in public)
Homework 4: Analytics Engineering
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission
Homework 5: Batch
Score: 6 = 6 (questions) + 0 (FAQ) + 0 (learning in public)
Homework URL: View submission