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Data Engineer with 1+ years in Cloud-Native Architectures & ETL/ELT Pipelines
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Assessing your cultural and operational fit
Results-driven Senior Azure Data Engineer with 10+ years of experience designing, developing, and optimizing enterprise-scale data platforms, cloud-native architectures, and high-performance ETL/ELT pipelines across Azure, AWS, and GCP environments. Expertise in Azure Databricks, Azure Data Factory (ADF), SQL, Scala, CI/CD automation, cloud migration, and large-scale data processing. Proven track record of delivering scalable, secure, and cost-efficient data solutions that improve operational efficiency, accelerate analytics, and support business-critical decision-making. Skilled in performance tuning, production support, platform engineering, and cross-functional collaboration with global teams, including international onsite project delivery.
TATA CONSULTANCY SERVICES (TCS)
PLATFORM ENGINEER
May 1, 2026 – Present
Pune, Maharashtra, India
TATA CONSULTANCY SERVICES (TCS)
SENIOR DATA ENGINEER
May 1, 2025 – February 1, 2026
Pune, Maharashtra, India
ONSITE ASSIGNMENT (MEXICO)
SENIOR CLOUD SUPPORT ENGINEER
July 1, 2024 – April 1, 2025
India
Google Cloud Associate Cloud Engineer
Google Cloud Platform
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across multiple roles (Platform Engineer, Senior Data Engineer, Senior Cloud Support Engineer) within a large organization (TCS) and an international assignment. This demonstrates adaptability and exposure to diverse operational contexts. The breadth of skills across cloud platforms, data engineering, and DevOps indicates a versatile profile. However, the lack of specific project details or contributions outside of direct job responsibilities makes it difficult to fully assess initiative or innovation beyond assigned tasks.
Soft Skills & Operational Fit
The candidate's resume highlights experience in cross-functional collaboration, working with international teams, and managing production environments. This indicates a good operational fit for roles requiring teamwork and robust support capabilities. The emphasis on process optimization and root cause analysis suggests a proactive approach to problem-solving and continuous improvement.