About me

- With over 20 years of expertise in architecting and implementing complex projects that are heavy in data. My extensive experience encompasses proficient handling of big data, crafting scalable projects, and executing seamless data migrations to cloud environments. I bring a wealth of knowledge to drive success in complex technological landscapes. - Architected and implemented a scalable data pipeline using Apache Spark, optimizing resource utilization and accommodating growing data volumes. - Leveraged Apache Spark's parallel processing capabilities for efficient data transformations, resulting in a 40% reduction in processing time. - Implemented optimizations, including tuning Spark configurations, leveraging caching mechanisms, and employing partitioning strategies, leading to a significant improvement in overall performance. - Orchestrated the deployment of Apache Spark on Amazon EMR, leveraging the benefits of cloud-based, managed infrastructure for enhanced scalability and flexibility. Configured and fine-tuned Amazon EMR clusters to ensure optimal performance in processing large-scale datasets. - Designed and implemented disaster recovery strategies for the data pipeline, ensuring data resilience and availability in the event of system failures or data corruption.