Anupam Pal

Data engineer with 12 years of experience, I have honed a robust skill set in designing, implementing, and optimizing large-scale data pipelines and architectures. My expertise spans various technologies and tools including SQL, Python, Hadoop, Spark, and cloud platforms such as AWS, Azure, and Google Cloud. I have successfully managed and executed numerous data integration projects, ensuring high data quality and performance across diverse environments.
Throughout my career, I have collaborated closely with data scientists, analysts, and business stakeholders to translate complex requirements into scalable solutions. My proficiency in ETL processes, data warehousing, and real-time data processing has enabled me to deliver actionable insights that drive strategic decision-making. Key accomplishments include leading the migration of legacy systems to modern data platforms, implementing automated data validation and monitoring frameworks, and optimizing data storage solutions to improve efficiency and reduce costs. My strong analytical skills, attention to detail, and commitment to continuous learning have been pivotal in navigating the ever-evolving landscape of data engineering.