With over 8 years of extensive expertise in Data Engineering and Big Data Development, I specialize in the comprehensive management of the Big Data Ecosystem, encompassing tasks such as Data Ingestion, Modeling, Analysis, Integration, and Data Processing. My proficiency extends to AWS cloud services, including EMR, Redshift, Dynamo DB, Lambda, Athena, Glue, S3, API Gateway, RDS, and CloudWatch, facilitating efficient processing of large datasets. I have adeptly crafted Python and Java API's for AWS Lambda functions, enabling streamlined management of various AWS services. Moreover, I possess a strong background in integrating Azure Data Lake, Data Factory, and Data bricks with other Azure services like Synapse Analytics and Power BI, thereby delivering comprehensive data analytics solutions. My expertise further extends to leveraging Poly Base within Azure Synapse Analytics for seamless querying and analysis of data stored in external sources such as Azure Blob Storage and Azure SQL Database. Additionally, I am proficient in utilizing Google Cloud (GCP) Services such as Compute Engine, Cloud Functions, Cloud DNS, Cloud Storage, and Cloud Deployment Manager, alongside a solid understanding of SaaS, PaaS, and IaaS concepts, enabling effective implementation using GCP.Furthermore, I bring extensive experience in building ETL production pipelines utilizing tools like Informatica Power Center, SSIS, SSAS, and SSRS. My scripting skills in Python, Scala, and UNIX shell are robust, coupled with adeptness in SQL tools like TOAD and SQL Developer for executing queries and validating data. I possess a deep understanding of data modeling, schema design, and query optimization across PostgreSQL and MySQL environments, alongside expertise in building highly scalable Big Data solutions using NoSQL column-oriented databases like Cassandra, MongoDB, and HBase, integrated with Hadoop Cluster. Proficiency in Hadoop, Spark, HDFS, MapReduce, YARN, Kafka, Pig, Hive, Sqoop, HBase, Oozie, Zookeeper, Cloudera Manager, and Hortonworks underscores my ability to architect and implement robust Big Data solutions. Additionally, hands-on experience in developing PySpark, Spark Java, and Scala applications for batch and stream processing, coupled with expertise in performance tuning of Hive queries, reflects my comprehensive skill set in real-time analytics and batch processing utilizing Spark Streaming, Kafka, Hadoop, MapReduce, Pig, and Hive.