Senior Data Engineer | 10+ Years Experience | Python, Spark, SQL, AWS
Actively Looking for Work
With over 10 years of experience architecting scalable data architectures and leading high-impact engineering teams
I am writing to express my strong interest in a Senior Data Engineer position with your organization. My background spans across healthcare, finance, and big data environments, where I have consistently delivered multi-cloud solutions that drive performance and operational efficiency.
In my most recent roles, I have demonstrated a track record of building robust data infrastructures that solve complex business challenges:
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Scalable Pipeline Architecture: At my current freelance practice, I architected ETL pipelines using Azure Data Factory and SSIS that process over 5 TB of data monthly, successfully reducing data availability time by 40%.
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High-Throughput Streaming & Multi-Cloud: During my tenure at DBS Bank, I designed multi-cloud data onboarding processes across AWS and GCP, developing PySpark components that handled 10+ TB of data daily with a 45% efficiency improvement. I also implemented Kafka architectures that reduced data latency by 50%.
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Performance Optimization: I am an expert in optimizing Spark jobs and automating workflows via Airflow, consistently reducing processing times by 35-45% for massive datasets.
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Technical Leadership: Beyond technical execution, I have a proven ability to mentor junior engineers and lead cross-functional teams to achieve 95%+ SLA adherence.