Deepak Shinde
About Deepak Shinde
Deepak Shinde is an Authorised Officer with a background in Electronics and Communications Engineering. He has over a decade of experience in data infrastructure design and optimization, currently working at UBS in London after previous roles at Zensar Technologies, Capgemini, and Tata Consultancy Services.
Work at UBS
Deepak Shinde has been employed at UBS as an Authorised Officer since 2022. He previously held the same position at UBS from 2018 to 2022 in Pune, India. In his role, he focuses on data engineering and is involved in implementing data-driven strategies that enhance business outcomes. His experience at UBS spans over four years, during which he has contributed to optimizing data infrastructure and solutions.
Education and Expertise
Deepak Shinde earned a Bachelor of Engineering (B.E.) in Electronics and Communications Engineering from Punyashlok Ahilyadevi Holkar Solapur University, Solapur, from 2007 to 2011. His academic background laid the foundation for his extensive career in data engineering. He is proficient in various data technologies, including Azure, PostgreSQL, MySQL, and Apache Airflow, and specializes in crafting scalable ETL processes and robust data architectures.
Background
Deepak Shinde has over a decade of hands-on experience in designing and optimizing data infrastructure and solutions. He began his career at Tata Consultancy Services as a System Engineer from 2012 to 2015. He then worked at Capgemini as a Consultant from 2015 to 2017, followed by a role as a Senior Software Engineer at Zensar Technologies from 2017 to 2018. His diverse experience across these companies has equipped him with a comprehensive skill set in data engineering.
Achievements
Deepak Shinde is skilled in communicating complex technical concepts to diverse stakeholders, which facilitates cross-functional teamwork. He is committed to staying at the forefront of emerging technologies in data engineering and actively seeks opportunities for continuous learning and professional development. His expertise also extends to machine learning, with skills in Natural Language Processing, Python, and TensorFlow.