Deepak Anand — Senior Software Engineer
I am a Data Engineer with strong experience in building scalable data pipelines, ETL workflows, and cloud-based solutions using Python, SQL, PySpark, Azure Data Factory, and Databricks. My work focuses on delivering efficient data pipelines that support reporting, analytics, advanced modelling, and machine learning applications. With a background in the BFSI domain, I have contributed to projects in credit risk modelling and performance optimization, applying machine learning algorithms to solve complex business problems. I enjoy tackling data challenges, exploring new technologies, and collaborating with teams to create reliable and impactful data-driven solutions.
Stackforce AI infers this person is a Data Engineer specializing in Fintech and cloud-based data solutions.
Location: Mumbai, Maharashtra, India
Experience: 11 yrs 9 mos
Career Highlights
- Expert in building scalable data pipelines.
- Strong background in BFSI domain and credit risk modeling.
- Proficient in cloud-based solutions and machine learning applications.
Work Experience
LexisNexis Risk Solutions
Senior Software Engineer || Data Engineer (6 mos)
Deloitte
Deputy Manager (2 yrs 7 mos)
INDIAN OVERSEAS BANK
Assistant Manager (8 yrs 8 mos)
Education
Postgraduate Degree at The University of Texas at Austin
Master of Business Administration - MBA at Vinayaka Missions Sikkim University
Bachelor's degree at University Institute of Technology, RGPV
