Ranjith Ramakrishnan Email & Phone Number

Experienced Data Engineer with over 10 years of expertise in designing, developing, and managing large-scale data processing systems. Proficient in AWS, Hadoop Big Data ecosystems, and Oracle databases. Strong background in data warehousing, ETL processes, and data integration. Adept at leveraging big data technologies to solve complex business problems and deliver actionable insights.Experience in Architecture, Analysis, Design, Development, Testing, Support, and various applications integration using ODI and Oracle Applications. Used Oracle Data Integrator Designer (ODI 11g, 12c) to develop processes for extracting, cleansing, transforming, integrating, and loading data into data warehouse database.AWS: Designed and implemented data pipelines using AWS services such as S3, EMR, Redshift, Lambda, Glue, and RDS.Hadoop Big Data: Managed and optimized Hadoop clusters, implemented MapReduce jobs, and utilized Hive, Pig, and HBase for data processing.Oracle: Developed PL/SQL scripts for data extraction, transformation, and loading (ETL). Optimized database performance and ensured data integrity.ETL Processes: Designed and implemented complex ETL workflows using AWS Glue and Oracle ODI. Automated data ingestion and processing pipelines.Data Warehousing: Architected data warehousing solutions to consolidate data from multiple sources, enabling advanced analytics and reporting.Data Integration: Integrated data from disparate sources, ensuring data consistency and reliability. Developed data validation and quality checks.Performance Optimization: Conducted performance tuning for both Hadoop and Oracle environments, resulting in significant improvements in processing speed and efficiency.Collaboration: Worked closely with business stakeholders to understand requirements and deliver solutions that meet business needs. Provided mentorship and training to junior engineers.Real-Time Data Processing Pipeline: Developed a real-time data processing pipeline using AWS Kinesis, Lambda, and Redshift to enable real-time analytics for a major client.Data Lake Implementation: Led the implementation of a data lake using Hadoop and S3, consolidating petabytes of structured and unstructured data for a global enterprise.Migration to Cloud: Successfully migrated on-premises Oracle databases to AWS RDS, reducing operational costs and improving scalability.Hadoop Cluster Optimization: Optimized a 100-node Hadoop cluster, improving job execution times by 40% through effective resource management and configuration tuning

Listed skills include C, Unix, Sql, Linux, and 7 others.

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  Panimalar Engg College

  8.64/10 Cgpa