I am a Data Engineer with extensive 6 years experience in building Big Data systems to provide a Unified Analytics Platform. With expertise in conceptualizing and implementing data pipelines, I am responsible for converting data into informational insights thus helping the organization to make data-driven decisions. My experience in various industries includes Trading & Food and Beverage Services & Banking domains. Key Competencies: ↗️Designing Big Data ETL Pipelines ↗️Building a Unified Analytics Platform ↗️Design Thinking ↗️Optimize the Job Execution Time ↗️Strategy Planning and Implementation ↗️Communication Technologies: ➡️AWS Cloud & Azure Cloud Services ➡️Apache Spark Programming ➡️PySpark Programming ➡️SQL for Data Analysis ➡️Simplify Data analysis With Python ➡️Manage Clusters Databricks. ➡️Data Extraction and Transformation and Load Databricks & Hadoop) ➡️Linux Commands ➡️Job Scheduling using Apache Airflow ➡️Data Ingestion for Apache Sqoop ➡️Data Warehouse Software for reading, writing and managing large data set files using Apache Hive. ➡️Experience with version controls for GitHub, Bitbucket ➡️Jenkins for automate the parts of software development related to building, testing, and deploying, facilitating CI/CD. Key Achievements: ✅Microsoft-Certified-Azure-Data-Fundamentals (DP-900) ✅Microsoft-Certified-Azure-Data-Engineer-Associate (DP-203) ✅ Databricks Certificated Associate Developer for Apache Spark. (Databricks Community) ✅AWS Certificated Developer - Associate ✅AWS Certificated Cloud Practitioner Worked on the optimization of Spark-based Data Integration framework performance using best practices which resulted in performance improvement.