Manoj Kumar Y Email and Phone Number

Led the development and optimization of large-scale data pipelines and infrastructure as a Senior Data Engineer at Target. Designed and implemented ETL processes using Apache Spark, Hadoop, and Python to manage and analyze massive datasets. Collaborated with cross-functional teams to build robust data models and enhance data quality, enabling improved decision-making across the organization. Spearheaded cloud integration projects, leveraging AWS and GCP to boost the scalability and reliability of data systems. Delivered significant improvements in data processing efficiency and accuracy, directly supporting business intelligence and analytics initiatives.

Drove the development of advanced data solutions as a Senior Data Engineer at Capital One, focusing on enhancing the scalability and efficiency of data systems. Engineered and maintained complex ETL pipelines, utilizing tools like Apache Airflow and Snowflake to streamline data processing. Collaborated with data scientists and analysts to build robust data models that supported predictive analytics and machine learning initiatives. Implemented data governance practices, ensuring data integrity and compliance with industry standards. Spearheaded the migration of on-premises data infrastructure to AWS, improving system performance and reducing operational costs. Delivered solutions that significantly enhanced data-driven decision-making capabilities across the organization.

Orchestrated the design and development of high-performance data systems as a Senior Data Engineer at Bank of America. Architected and optimized ETL workflows, leveraging technologies like Apache NiFi, Talend, and SQL to ensure efficient data processing and transformation. Partnered with business teams to create data models that supported key financial analytics and reporting. Led initiatives to enhance data security and compliance, implementing robust governance practices across all data platforms. Played a pivotal role in migrating legacy systems to modern cloud-based architectures, improving scalability and reducing maintenance costs. Consistently delivered data solutions that empowered business units to make informed, data-driven decisions.

Engineered data solutions at Proton Expert Systems & Solutions, focusing on the full Software Development Lifecycle (SDLC) in an agile environment. Utilized PySpark and Azure services to implement data transformations, develop data pipelines, and manage data ingestion from various sources. Built and maintained a data lake with Azure Blob Storage, created machine learning pipelines using Azure ML Studio, and deployed high-availability solutions on AWS. Developed REST APIs, managed CI/CD pipelines with Jenkins, and leveraged Docker for containerization. Ensured data quality and system reliability through extensive use of Spark, Hive, and AWS services.