🚀 Senior Data Engineer | GCP Certified | Fraud & AML Pipelines | BigQuery · dbt · Airflow · PySpark · Vertex AI or BigQuery ML | FinTech (Kraken, Imprint, Novo, Finwise, Modulr, Bitmex and Felix-Pago)

Hyderabad

Remote

San Francisco, California, United States


Indore, Madhya Pradesh, India







B.Tech, Computer Science
Bansal Institute of Science & Technology, Raisen Road, Kokta, Anand Nagar, Bhopal - 462021
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Download Tal Boss🚀 Senior Data Engineer | GCP Certified | Fraud & AML Pipelines | BigQuery · dbt · Airflow · PySpark · Vertex AI or BigQuery ML | FinTech (Kraken, Imprint, Novo, Finwise, Modulr, Bitmex and Felix-Pago)
Senior Data Engineer with 3 years of experience building production-grade fraud detection and AML monitoring pipelines for regulated FinTech institutions — including Kraken, Imprint, Novo, Felix Pago, and Modulr — on Google Cloud Platform. I specialise in designing near real-time data systems that power compliance-critical decisions at scale. What I do: — Design and optimise BigQuery pipelines using partitioning, clustering, and incremental dbt models, enabling sub-second latency for AML alerting and fraud rule execution across high-volume card, transfer, and payment systems. — Build and deploy AML detection routines covering structuring, pass-through activity, internal transfer spikes, identity mismatches, and cross-border transaction anomalies. — Orchestrate event-driven data workflows using Apache Airflow and n8n, automating ingestion, validation, alert generation, and compliance notifications — reducing manual intervention significantly. — Work across the full data stack: Python · SQL · BigQuery · dbt · Airflow · PySpark · Databricks · Pub/Sub · GCP (Cloud Composer, Dataflow, Looker). Key results delivered: — Replaced high-cost Sigma dashboard queries with incremental dbt models, saving ~$3,800 annually while improving reporting freshness and simplifying regulatory compliance for Novo and Kraken. — Delivered auditable, modular dbt transformation models with full traceability of AML rules — critical for regulatory reviews and client audits. — Built pipelines processing multi-terabyte compliance datasets with reduced runtimes, ensuring SLA adherence across 7+ concurrent FinTech clients. Currently exploring Senior / Lead Data Engineer opportunities with a preference for GCP-first stacks, FinTech, Banking, or other regulated industries where data quality and compliance are non-negotiable. Open to roles at MNCs, product companies, and high-growth startups. GCP Professional Data Engineer certified. Feel free to reach out: writemeom@gmail.com | linkedin.com/in/omanshugaidhane
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B.Tech, Computer Science, Bansal Institute of Science & Technology, Raisen Road, Kokta, Anand Nagar, Bhopal - 462021
github: https://github.com/omanshu23
leetcode: https://leetcode.com/writemeom