o Around 15 years of total IT experience with 11 years in United States working on ETL & bigdata technologies.• Around 15 years of total IT experience with 11 years in United States working on ETL & bigdata technologies.o Strong experience designing and developing applications & features using python, spark, airflow, presto, SQL and pandas.o Architected time-series data solutions, optimized AWS resource usage, reconfigured spark cluster, achieving a 50% cost.o Designed time-series data solutions, optimized AWS resource, and reconfigured clusters, achieving a 50% cost reduction.o Design machine learning classification model, develop feature extraction, preprocessing and training pipelines, integrate with MLflow for efficient model management, and create serving models to predict solutions to complex problems.o Architecting and optimizing Spark solutions, including fine-tuning Spark code, SQL queries, and cluster configurations to drive substantial improvements in performance, efficiency and ensure optimum use of AWS resources.o Skilled in designing and developing frameworks for seamless interaction with Google Sheets, PostgreSQL, and Presto/Trino etc, simplified ingestion process by adding all the features under a framework/package. o Expert in designing robust monitoring and diagnostic solutions using AWS Cloud Watch and kubectlo Hands on experience in creating continuous, batch, generic graphs/pipelines & conduct>It using Ab Initio.o Designed and developed a machine learning classification model using scikit-learn, and integrated it into MLflow for serving.o Skilled utilized AWS services including S3, EC2, RDS, cloud watch and Amazon workspace etc.o Knowledge of large language model, Generative AI.