A dedicated Data Engineer with a flair for teaching, blending technical expertise with an approachable and engaging methodology to empower others. Specializing in designing scalable data architectures and pipelines, I use tools like Databricks, Spark, and Azure Data Lake to deliver robust solutions. My work involves integrating data from diverse sources such as SharePoint, APIs, and relational databases into secure, high-performance data lakes and warehouses, driving actionable insights and business success.
I take a hands-on, problem-solving approach, breaking down complex topics into digestible concepts and real-world applications. Through a mix of interactive tutorials, live coding sessions, and relatable examples, I ensure learners grasp both the 'how' and 'why' of data engineering.
Built data pipelines that reduced ETL processing time, enabling faster decision-making.
Trained junior engineers and cross-functional teams to confidently use tools like SQL and Python, increasing team efficiency.
Developed a training module for cloud data storage solutions that improved adoption rates within the organization.
My ability to connect with learners on a personal level sets me apart. I focus on understanding individual learning styles, addressing questions with patience, and encouraging curiosity.
Experience
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Senior Data Engineer (Sep, 2018
–Present) at Tredence Inc.
Fee details
₹800–1,000/hour
(US$9.42–11.77/hour)