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As a Data Engineer at data.ai, I design and implement data pipelines that transform raw data into actionable insights for business decision-making. I use Python, SQL, and various data processing frameworks, such as Apache Spark, Apache Kafka, and Hadoop, to integrate data sources and automate complex data workflows. I also work on data modelling, optimization, and performance tuning, ensuring efficient data storage and retrieval. I have a Bachelor of Technology degree in Computer Science from Patel College of Science and Technology, Bhopal, and 3 years of experience in Data Engineering, Data Analytics, and Software Engineering. Previously, I built data migration and data scraping tools, and developed an automated emailing tool that provided stakeholders with real-time insights into their business data, as a Data Engineering Associate at Accenture. I have also built a face recognition attendance system using Python, OpenCV, and deep learning libraries, as a Data Science Intern at Netlink Software Group America Inc. I am a team player who enjoys collaborating with cross-functional teams to build analytics solutions, providing stakeholders with real-time insights into their business operations. My strong problem-solving and analytical skills, coupled with my ability to learn and adapt quickly, have enabled me to excel in fast-paced environments. I am eager to bring my skills and experience to a challenging Data Engineering role, where I can leverage my expertise to build innovative solutions that drive business growth and success.
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