Sandesh D Email & Phone Number

As a seasoned Data Engineer, I specialize in designing and customizing data models for robust data warehouses. My expertise spans leading ETL architecture development, ensuring seamless data loading from diverse sources, and collaborating closely with stakeholders to gather precise requirements.With proficiency in tools like Erwin, I excel in both logical and physical data modeling, particularly in STAR SCHEMA configurations. My experience extends to confidential Redshift and MPP database concepts, including successful migrations to Redshift data warehouses, where I implement effective workload management strategies for optimized performance.I have a proven track record in developing robust ETL pipelines, conducting thorough data cleaning, and facilitating data ingestion into Hive tables. My skill set encompasses managing stream processing and data storage through Apache Spark and Sqoop, with a keen focus on optimizing Spark applications for peak performance.In addition, I leverage tools like Amazon CloudWatch for seamless monitoring and control of storage resources, ensuring uninterrupted operations. My strength lies in extracting and analyzing large datasets to derive actionable insights and propose strategic solutions that drive business success.I am proficient in automating infrastructure using Terraform modules and scripts, and I have a knack for crafting impactful Power BI reports and dashboards. With a strong command of SonarQube for code quality analysis and expertise in applications consuming data from Amazon Kinesis streams, I ensure top-notch performance and reliability.Furthermore, I excel in managing physical storage resources, optimizing data layout, and creating automation scripts for scheduling and managing Hive jobs. I am adept at maintaining comprehensive data dictionaries and proficient in setting up Azure Active Directory and managing user access.Driven by results, I am committed to delivering innovative data-driven solutions and strategic insights that propel businesses forward.