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Video meeting . 30 mins
500
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Video meeting . 60 mins
1,000
Video meeting . 30 mins
500

About me

Hello! I'm a seasoned Data Engineering professional with over 14 years of experience in designing and implementing scalable, cloud-based data solutions. An alumnus of Harcourt Butler Technical University (formerly HBTI) in Kanpur, I've cultivated a robust foundation in engineering principles that have propelled my career in data engineering. Professional Experience: Throughout my career, I've had the privilege of working across diverse industries, including automobile, retail, and pharma. This exposure has allowed me to tackle a variety of data challenges, from architecting complex data pipelines to optimizing data storage solutions. My expertise lies in: Cloud Platforms: Proficient in both Azure and AWS, I've leveraged services like Azure Data Factory, AWS Glue, and Amazon Redshift to build and manage data infrastructures. Data Warehousing: Experienced with Snowflake, I've implemented data warehousing solutions that support real-time analytics and business intelligence. Data Transformation: Utilizing tools like DBT (Data Build Tool) and Apache Airflow, I've developed robust ETL/ELT pipelines that ensure data quality and integrity. Programming Languages: Skilled in Python and SQL, I craft efficient scripts and queries to process and analyze large datasets. Educational Background: I earned my engineering degree from Harcourt Butler Technical University (HBTU), Kanpur—a prestigious institution known for its rigorous curriculum and emphasis on practical learning. The education I received there laid the groundwork for my analytical and problem-solving skills. Professional Interests: Beyond my technical roles, I have a deep-seated passion for mentoring and knowledge sharing. I actively engage in: Mentorship: Guiding aspiring data engineers through career transitions, helping them navigate the complexities of the field. Continuous Learning: Staying abreast of emerging technologies in data engineering, such as real-time data processing and machine learning integrations. Community Engagement: Participating in tech forums and contributing to discussions that drive innovation in data engineering practices. Let's Connect: Whether you're an aspiring data professional seeking guidance, an organization looking to optimize your data infrastructure, or a fellow enthusiast eager to discuss the latest in data engineering, I'm here to collaborate and share insights.