I am an accomplished IT professional with 8 years of experience in data warehousing technologies, including ETL, Informatica, and Teradata. I have hands-on experience with big data solutions using Hadoop, HDFS, MapReduce, Spark, Hive, and Sqoop. My knowledge of Hadoop architecture and components, along with proficiency in Python, Spark, and Hadoop application development, has contributed to my success in the industry. I have over 6 years of experience in data analytics and reporting, using Python to drive insights and improvements. My expertise includes PostgreSQL, ELK/Kibana, Oracle databases, MongoDB, database design, data modeling, SQL and NoSQL databases, and ETL processes. I have a strong background in data profiling, data quality analysis, data ingestion technologies, and ETL tools such as Pentaho. Familiar with big data technologies and data science tools, I have a solid understanding of RDBMS, software development in Windows and Linux, Agile methodologies, and data visualization. I possess hands-on experience in all facets of the Software Development Life Cycle and have experience working with AWS, GCP Cloud Storage, Dataproc services, Snowflake, and Power BI report development. With strong documentation and presentation skills, I can effectively communicate analysis and insights to stakeholders. I have experience scheduling jobs using Autosys, deploying serverless functions using AWS Lambda, and building data pipelines with AWS Glue, Data Pipeline, and Amazon Kinesis. My ability to manage multiple tasks, troubleshoot problems, and work in fast-paced environments makes me a valuable asset to any team.