> Over 10 years of professional IT experience, with a strong focus on the Big Data ecosystem for the past six years. Proficient in utilizing Hadoop and its ecosystem components, including HDFS, Spark, Python, Scala, Zookeeper, Yarn, Sqoop, Hive, Flume, Kafka, Apache Beam, NiFi, Apache STORM, and Spark streaming. Additionally, possess 5 years of expertise in AWS, GCP, and Microsoft Azure Cloud services.> Solid working knowledge of Amazon Web Services (AWS) Cloud Platform, with hands-on experience in services such as EC2, S3, VPC, IAM, Dataflow, DynamoDB, Redshift, Lambda, Event Bridge, Cloud Watch, Auto Scaling, AWS SageMaker, Amazon QuickSight, Security Groups, CloudWatch, CloudFormation, Kinesis, IAM, SQS, and SNS.>Solid working knowledge of designing, building, and managing large-scale data solutions and applications using GCP data and analytics services such as Cloud DataProc, Cloud Dataflow, Cloud Composer, BigQuery, Cloud PubSub, Cloud Storage, and Cloud Functions.> Proficient in Microsoft Azure Cloud Platform with practical expertise in utilizing services including Virtual Machines (VMs), Azure Storage (Blob), Virtual Network (VNet), Azure Active Directory (AAD), Azure Cosmos DB, Azure SQL Database, Azure Functions, Azure Event Grid, Azure Monitor, Azure Autoscale, Network Security Groups, Azure Resource Manager (ARM), Azure Stream Analytics, Azure Identity and Access Management (IAM), Azure Service Bus, and Azure Notification Hubs.> Extensive experience in Spark technology, including 3 years of working with Spark, proficiency in writing Spark applications using PySpark and Scala, and developing data pipelines using Kafka and Spark streaming to store data into HDFS.> Implemented end-to-end machine learning workflows using Amazon SageMaker, including data preprocessing, model training, and deployment.> Skilled in Python programming, focusing on libraries like Pandas, NumPy, Matplotlib, TensorFlow, Keras, etc. Well-versed in Machine Learning algorithms and concepts, utilizing MLlib, sci-kit-learn, and Python for data preprocessing, regression, classification, and model selection.> Experienced in developing Oozie workflows and coordinator schedulers for running multiple independent Hive and Spark jobs.> Excellent working experience in Scrum/Agile framework and Waterfall project execution methodologies. Good experience in Data Analysis as a Proficient in gathering business requirements and handling requirements management.