AI Data Engineer with experience in Python automation, ETL pipelines, RESTful API development, and large-scale data processing using AWS, Spark, Apache Flink, Flask, and Django. Also experienced in data analysis, visuali…
AI Data Engineer with experience in Python automation, ETL pipelines, RESTful API development, and large-scale data processing using AWS, Spark, Apache Flink, Flask, and Django. Also experienced in data analysis, visualization, and web application development through internships, projects, and academic coursework.
Developed a Python automation tool to streamline the migration of client data from Ambari to AWS, resulting in a 70% reduction in migration time and a 50% increase in data accuracy.
Collaborated with cross-functional teams to design and implement scalable and efficient ETL pipelines using AWS and Spark, resulting in a 20% enhancement in operational efficiency.
Applied advanced data processing frameworks such as Apache Spark and Apache Flink to handle large-scale data processing tasks, optimizing backend performance by 30%.
Engineered and managed robust RESTful APIs with Flask and Django, facilitating efficient data access and manipulation, leading to a 30% increase in system performance and a 20% reduction in server load.
Utilized AWS services such as S3, Redshift, and Glue to create scalable and cost effective data solutions for clients. Tech-stack: Python,Spark, ETL, RESTful APIs, AWS
Developed a Python automation tool to streamline the migration of client data from Ambari to AWS, resulting in a 70% reduction in migration time and a 50% increase in data accuracy.
Collaborated with cross-functional teams to design and implement scalable and efficient ETL pipelines using AWS and Spark, resulting in a 20% enhancement in operational efficiency.
Applied advanced data processing frameworks such as Apache Spark and Apache Flink to handle large-scale data processing tasks, optimizing backend performance by 30%.
Engineered and managed robust RESTful APIs with Flask and Django, facilitating efficient data access and manipulation, leading to a 30% increase in system performance and a 20% reduction in server load.
Utilized AWS services such as S3, Redshift, and Glue to create scalable and cost-effective data solutions for clients.
Contributed to Zomato, India's largest food delivery app, by analyzing data to derive actionable insights which help them to take a better business decision.
Implemented key metrics and graphs in Python to visualize profitability across different cities, resulting in a 15% improvement in profit margins.
Applied Microsoft Power BI, Statistical Data Analysis techniques, and Excel to analyze sales data, leading to a 20% increase in revenue.
Led a team of 10 interns to successfully onboard 150+ restaurants, resulting in collectively generating over INR 2 million in additional revenue.
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