• About 11 years of experience in the IT industry in AWS Cloud Architect, Backend Engineering, Data Engineering, Big Data Analytics, Machine Learning, Data Science, Application Integration, and people management. • Six years of experience in Backend Engineering Data Engineering, cloud (AWS and GCP), and Data Science using Python. • Four years of experience in Oracle Fusion Middleware (SOA 11g, SOA 12c, OIC) • Leading three Industry Accelerators playing roles as Solution and Technical Architect • Strong experience in building E2E Analytical scalable data pipelines. • Strong working experience in AWS cloud services deploying Data Science and Data Engineering workflows and decent experience in GCP cloud services. • Migrating REST APIs and IoT data pipeline from AWS to Microservices architecture using Docker and Kubernetes for deploying scalable REST APIs using FLASK and Gunicorn • Running YouTube channel related to Data Science 𝙝𝙩𝙩𝙥𝙨://𝙬𝙬𝙬.𝙮𝙤𝙪𝙩𝙪𝙗𝙚.𝙘𝙤𝙢/𝙪𝙨𝙚𝙧/𝙫𝙞𝙨𝙬𝙖𝙩𝙚𝙟𝙖1 and blog on Machine Learning 𝙝𝙩𝙩𝙥𝙨://𝙢𝙖𝙘𝙝𝙞𝙣𝙚𝙬𝙞𝙩𝙝𝙙𝙖𝙩𝙖.𝙘𝙤𝙢/ • Knowledge in Apache Airflow for creating workflows. • Good knowledge of Big Data ecosystems like Apache PySpark, Apache Beam. 𝐃𝐚𝐭𝐚/𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Apache PySpark, Data Warehouse, REST APIs, Apache Airflow, Docker, Kubernetes, Flask/REST API 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐏𝐲𝐃𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤: Python, NumPy, Pandas, SciPy, Scikit-learn 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭: AWS (Lambda, ECS, RDS, EC2, Athena, SQS, S3, CloudFormation), GCP (Cloud functions, cloud storage, Dataflow, Cloud Run, Pub/Sub) 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Supervised Learning (Linear Regression, Logistic Regression, Decision Trees, Random Forests, KNN) Un-Supervised Learning (K-Means), Hypothesis Testing, Chi-Square test