Capability Stack
Technical Skills
20 Skills
Spark & HadoopPython & JavaShell scriptingSnowflakeAWS CloudEMRRedshiftAthenaGlueEMR on EKSDMSCloudFormation & LambdaLinux & WindowsMySQLDynamoRedshiftHiveImpalaSnowflakeGit
Marketplace Profile
Vijay K
AWS Lead Data Engineer
Vijay is an experienced AWS Lead Data Engineer with a proven track record in designing and implementing large-scale data pipelines, analytics solutions, and cloud-based data architectures on AWS. Proficient in AWS services such as Redshift, Glue, Athena, S3, EMR, and Lambda, Vijay excels in managing and transforming data across complex environments. With strong expertise in data modeling, ETL processes, and performance optimization, Vijay ensures that data solutions are both scalable and efficient. Available for hourly, monthly, or quarterly engagements, Vijay is ready to lead your data engineering initiatives and empower data-driven decision-making across your organization.
Level 3AWS
Technical Profile
Skills and Delivery Strengths
Review this resource's technical coverage, delivery responsibilities, and fit for partner-led execution.
Verified Credentials
Certifications
3 Credentials
AWS Certified Solutions Architect – Professional
AWS Certified Big Data – Specialty
Microsoft Certified: Azure Data Engineer Associate
Delivery Scope
Responsibilities
Lead the design and implementation of scalable and high-performance data architectures on AWS.
Manage and optimize AWS services like S3, Redshift, Athena, Glue, and EMR to support data processing workflows.
Collaborate with data scientists, analysts, and other stakeholders to understand business needs and provide data solutions.
Develop and implement ETL pipelines using AWS Glue, EMR, and other AWS services for data extraction, transformation, and loading.
Ensure seamless data integration from various sources into data lakes and warehouses.
Oversee the design and deployment of cloud-native data architectures with best practices in mind for scalability and security.
Develop and optimize data models and schemas in Redshift, Snowflake, and other cloud databases.
Led the migration of on-premises data systems to AWS cloud-based solutions.