
Senior Consultant – Data & AI @ Microsoft
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a hands-on Data Engineering Manager with 8+ years of experience designing and leading Azure-based data platforms. I specialize in Azure Databricks, Spark, Delta Lake, and data architecture, with strong experience in cloud modernization, cost optimization, and team mentoring. I have led end-to-end data platform initiatives, partnered closely with business stakeholders, and delivered scalable analytics solutions in consulting environments.
Galgotias college of engg. and technology
Bachelor of Technology, cse
January 1, 2014 – January 1, 2018
Microsoft
Senior Consultant
June 1, 2026 – Present
Noida, Uttar Pradesh, India
Tredence Inc.
Associate Manager- Data Engineering
November 1, 2023 – June 1, 2026
Gurugram, Haryana, India · Hybrid
Quantiphi
Senior Big Data Engineer
July 1, 2022 – November 1, 2023
Quantiphi
Big Data Engineer
April 1, 2021 – July 1, 2022
Cognizant
Big Data Engineer
June 1, 2018 – April 1, 2021
Greater Chennai Area
Silicon Mentor
Machine Learning Intern
March 1, 2018 – June 1, 2018
Greater Noida
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
coursera
June 24, 2026 – Present
Intro to python for data science
DataCamp
June 24, 2026 – Present
Statistical Learning
Stanford Online
June 24, 2026 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a consistent career progression in data engineering across multiple companies (Cognizant, Quantiphi, Tredence, Microsoft), indicating adaptability and a breadth of experience. The roles align well with a Big Data Engineer target role, and the certifications in Machine Learning and Azure Data Engineering further support a strong cultural fit for a data-driven organization. The lack of diverse project descriptions outside of core data engineering might suggest a focused, rather than broad, interest.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight stakeholder collaboration, team mentoring, and driving performance optimization, suggesting good operational fit and soft skills relevant for a senior role. However, without specific assessment data on these, this is inferred from job descriptions.