At Acme Analytics, I engineered a serverless data processing pipeline using AWS Glue and Python, reducing daily ETL job runtime by 45% and cloud infrastructure costs by over $8,000 monthly. This system ingested over 20TB of raw log data into a Redshift data warehouse, improving reporting latency for critical business intelligence dashboards, enabling faster decision-making across product teams.
Beyond AWS, my experience includes architecting a real-time data ingestion framework on GCP, leveraging Pub/Sub and Dataflow to process streaming events from over 50 client applications. This enabled immediate anomaly detection, decreasing incident resolution time by 30% for our customer support team. I also developed robust data quality checks in Scala for our Apache Spark EMR clusters, handling petabytes of data for our machine learning initiatives, ensuring data integrity for critical models.
NovaStream Technologies' reputation for pioneering AI-driven analytics, particularly your recent initiative to unify diverse data sources, deeply resonates with my capabilities. My multi-cloud expertise across AWS, GCP, and Azure, coupled with my proficiency in Python and Scala for large-scale data transformation, directly aligns with the technical demands of building resilient and scalable data platforms. I am eager to contribute to your goals of enhancing data accessibility and operational efficiency, having tackled similar challenges at Acme Analytics.
My track record of designing, building, and optimizing complex data ecosystems, from batch processing to real-time streaming, positions me to significantly impact NovaStream Technologies' data strategy. I am confident in my ability to hit the ground running and deliver substantial value to your engineering team. I look forward to the opportunity to discuss how my experience can support your innovative projects and contribute to your continued success, driving measurable improvements for your stakeholders.
Best regards,
Isabel Santos
