Welcome to my LinkedIn profile! I'm a dedicated Data Engineer with three years of hands-on experience in designing, developing, and maintaining robust data pipelines to extract insights from complex datasets. My expertise lies in leveraging cutting-edge technologies and frameworks to drive actionable intelligence for businesses.🔧 Skills & Specializations:Python & PySpark: Equipped with advanced proficiency, I utilize Python and PySpark to manipulate and analyze data efficiently, ensuring scalable solutions for diverse projects.Hadoop Cluster & Hive: Experienced in building and managing Hadoop clusters, I leverage Hive for querying large datasets, enabling seamless data processing and storage.AWS: Proficient in leveraging AWS services such as S3, EMR, Glue, RDS, Lambda, Redshift, Athena, SNS, SQS to architect scalable, secure, and cost-effective data solutions in the cloud.SQL & Unix: Skilled in crafting complex SQL queries and proficient in Unix shell scripting, I streamline data workflows and ensure data integrity across systems.Data Warehousing: Facts & Dimension tables, Star & Snowflake schema, SCD Types🔍 Key Achievements:Successfully designed and implemented data pipelines, resulting in a significant reduction in processing time and improved data accuracy.Led initiatives to optimize resource utilization in Hadoop clusters, resulting in cost savings and enhanced performance.Collaborated cross-functionally to develop real-time data processing solutions, enabling timely decision-making for business stakeholders.🌟 Passion & Commitment:I am deeply passionate about harnessing the power of data to drive strategic business decisions and fuel innovation. With a relentless commitment to excellence, I thrive in dynamic environments, continuously learning and adapting to emerging technologies and industry trends.🤝 Let's Connect:I'm always eager to collaborate on exciting projects, share insights, and explore new opportunities within the realm of data engineering. Feel free to reach out, and let's connect!List of Key skills :Data Engineering, Big Data, Spark, Hadoop, PySpark, SQL, Python, NumPy, Pandas, Hive, HBase, Airflow, GitHub, AWS, Redshift, S3, Athena, Glue, EMR, UNIX, Data Validation, Data Warehousing, Data Mart, Data Architecture, DataStage, Data Analysis, ETL, Data Processing, Data Lake.