Data Engineer with 10+ years in cloud-native data platforms & lakehouse architectures.
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Experienced IT professional with 9 years of expertise across BFSI (Banking, Payments, Insurance), Telecom, and Public Services, delivering enterprise-scale data platforms. Skilled in designing cloud-native, scalable data pipelines and lakehouse architectures, and modernizing legacy systems across AWS, GCP, and Azure platforms. Delivered high-impact data solutions for global clients including Spotify, Vodafone, PNC Bank, HSBC, and Lincoln Financial Group, improving data reliability, reporting accuracy, and system performance.
Kakatiya Institute of Technology and sciences
B.TECH · INFORMATION TECHNOLOGY (IT)
N/A – June 30, 2016
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Cultural Fit Analysis
The candidate's experience across multiple global clients (Spotify, Vodafone, PNC Bank, HSBC, Lincoln Financial Group) and diverse sectors (BFSI, Telecom, Public Services) indicates a strong ability to adapt to different organizational cultures and project requirements. Their role as a Technical Lead and mentor suggests a collaborative and growth-oriented mindset. The breadth of skills across various cloud platforms and data technologies demonstrates a willingness to learn and adapt to new tools, which is crucial for cultural fit in dynamic environments. The focus on data governance and best practices aligns with a culture of quality and reliability.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their extensive experience in designing, implementing, and optimizing ETL pipelines, managing CI/CD, and monitoring data workflows. Their leadership experience in mentoring junior engineers and driving best practices indicates strong collaboration and communication skills. The resume highlights problem-solving abilities in optimizing pipeline performance and resolving throttling issues. The candidate's experience across various client engagements and domains suggests adaptability and client-facing communication skills.