Kashan Mirza

Background

About Kashan Mirza

Summary With the experience of over 10+ years in managing IT infrastructures on various levels, I worked collaboratively with different team structures. Working with other technological tools, I provided the necessary transformation that transformed their software infrastructure the best in the business. I performed data extraction procedures, data configuration, business intelligence, and benchmarking for data analytics reasonings with my adept business intelligence capabilities. Throughout my experience, I spearheaded the entire development, implementation, and maintenance of data analytics protocols, standards, and project documentation. I also have a proven record of delivering up-to-date methods to maximize database stability and a lower likelihood of data corruption and security breaches. As the Lead Data Engineer, my role also included the introduction of the application to onsite servers and its maintenance during post-deployment. I also worked in tandem with the upper management to drive strategies throughout the development, deployment, and execution process. I also have significant knowledge of various software products like Teradata, Snowflake, IBM DataStage, PowerBI, Jupyter, Oracle, and SAP. As a software developer, I was responsible for adopting object-specific, component-oriented, and service-centered designing prepositions and patterns. As a renowned business leader, I successfully fostered business relationships and crafted solutions to different business problems. Career Highlights • I oversaw the transition of all objects from Snowflake to Teradata, which resulted in $2.4M annual savings. • I executed a real-time data pipeline by imbibing 32 million+ rows on a daily basis. • I led teams on many projects dealing with descriptive analytics with my exceptional leadership capabilities by creating OEE dashboards and well-detailed reports to monitor pH levels and calibrations completed by machines. • I developed and migrated 300 plus tables/views for the Data Lab, which already had data from various DB2, SAP, and other corporate mainframe sources.