I expertise in building and optimizing data pipelines, managing SQL, NoSQL, PostgreSQL, Oracle databases, and developing data-driven reports. Skilled in programming languages like Python, Java, and Shell scripting, I use tools such as Informatica, SSIS, Talend, and Tableau to create efficient ETL processes and high-quality data workflows. My experience includes working with big data technologies like Hadoop, Spark, HDFS, Kafka and data warehousing solutions such as Snowflake and SQL Server. I am also proficient in SQL Server Reporting Services (SSRS) and visualization tools like Tableau and Power BI. I worked with different data formats like XML, JSON, CSV, Parquet, Text, Log. With cloud experience on AWS and Azure, I am certified in AWS Cloud Practitioner and Dell EMC Big Data. I bring a detail-oriented, adaptable approach, focused on improving data accuracy and supporting business goals through reliable data insights. I used scikit-learn and TensorFlow for machine learning model implementation. Furthermore, I have experience in data analysis, performance optimization, technical documentation, cross-functional teamwork, and preprocessing data, including cleaning and feature engineering. Worked with development tools like Git, JIRA, Agile methodologies, API integration, GitLab.