👋 Hi, I'm Dipanshu Maddheshiya!🚀 I’m a Data Engineer with a strong foundation in building scalable data pipelines, optimizing data workflows, and enabling data-driven decision-making. Currently working at Carelon Global Solutions, I bring over 3 years of experience in designing and implementing end-to-end data solutions that bridge raw data with meaningful insights. As a final-year engineering student, I enjoy solving complex data problems—from transforming and integrating large datasets to setting up data lakes and orchestrating ETL workflows. I believe in a proactive approach—first diving deep to solve challenges independently, then reaching out to mentors or loved ones for fresh perspectives. change to devops 🔧 Skills & Interests: Data Engineering: ETL/ELT Pipelines, Data Warehousing, Batch & Stream Processing, Apache Spark, Airflow, dbt Cloud & Big Data: AWS (S3, Redshift, Glue), Azure Data Factory, GCP (BigQuery), Snowflake, Databricks DevOps for Data: CI/CD for Data Pipelines, Infrastructure as Code (Terraform), Docker, Kubernetes Programming & Tools: Python, SQL, Shell Scripting, Pandas, PySpark, Git Soft Skills: Problem Solving, Agile Collaboration, Continuous Learning, Clean Code Practices while (!succeed) { try(); skill++; } When I'm not coding, you’ll find me solving math puzzles, working out, or sharing my data tech journey on Instagram. Let’s connect and turn raw data into powerful insights together!