Nandini de
IT Analyst at Tata Consultancy Services
Based in Kolkata, India
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Seniority
Staff
Department
Information Technology
Location
Kolkata
Industry
IT Services and IT Consulting
Company size
696K
Contact information
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n•••••••@tcs.com
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5 credits+91 ••• •••• ••••
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Background
About Nandini de
Summary I am a results-driven Data Engineer with 4 years in data engineering and a total of 10 years in IT. I specialize in designing and optimizing cloud-based data solutions, particularly within the Azure environment. With a robust proficiency in ETL pipeline development and an adept use of Python for data processing, I am dedicated to helping organizations leverage their data through effective architecture and automation Key Achievements Improved ETL Efficiency Achieved 40% improvement in ETL process efficiency using Azure Data Factory. Seamless Database Migration Successfully migrated 200+ databases, minimizing downtime to under 10 minutes per instance. Optimized Data Processing Increased data processing speed by 60% through optimized Python scripts on Databricks. Cost-saving Project Leadership Led a team to deliver a cloud integration project that saved 25% in operational costs. Core Strength: ETL & Data Integration: Extensive experience in building and managing data pipelines using Azure Data Factory to extract, transform, and load data efficiently. Data Warehousing & Analytics: Proficient in Azure Synapse Analytics for large-scale data processing, warehousing, and real-time analytics. Big Data Processing: Skilled in Azure Databricks for Spark-based data processing, Delta Lake implementations, and collaborative data engineering workflows. Cloud Database Management: Strong background in Azure SQL Database, performance tuning, and high availability solutions. Automation & Scripting: Proficient in SQL Scripting and Python for data manipulation, automation, and integrating Azure services for enhanced data workflows. Why Hire Me: A strategic problem-solver with a strong ability to translate business requirements into scalable, high-performance data solutions on Azure. Passionate about optimizing data architectures to drive data-driven decision-making and operational efficiency. Looking to bring technical expertise and leadership to a dynamic team focused on cloud data engineering and advanced analytics.
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