Kelvin Danyal

I’m a Senior Data Engineer with six years of turning messy, siloed data into pipelines that analysts actually trust. I began writing SQL reports for a healthcare startup and grew into designing cloud-native ETL architectures handling terabyte-scale workloads.

At Techinoxsystems, I own the analytics data platform ingesting 1.8B events daily from 22 source systems across 3 AWS regions. I serve as the primary data engineer supporting 45 analysts and 8 production ML models, while maintaining zero data-loss incidents for 11 consecutive months.

I designed the event streaming pipeline using Kinesis + Lambda + Iceberg on S3, replacing the previous 8-hour batch lag with marketing attribution data delivered in under 2 minutes. I also built 280 dbt models across staging, intermediate & mart layers with freshness checks, cutting analyst data-request turnaround from 3 days to same-day.

My focus is reliability and compliance: I engineered automated PII detection & masking using AWS Macie + Python classifiers at 99.6% accuracy across 1,200 columns nightly, enabling HIPAA compliance. I also optimize data platform performance and cost through warehouse sizing, query tagging, and S3 lifecycle policies, and I strengthen quality with Great Expectations and alerting workflows.