Mayur ShahasanePrincipal Data Engineer & Infrastructure Architect

I treat data as a mission-critical financial asset. I ensure its integrity using a strict three-layer framework:

• Governance & Security: Centralized metadata management, automated data lineage tracking, and rigid role-based access controls (RBAC) to guarantee security and compliance.
• Automated Quality Controls: Continuous profiling and structural validation testing at every point of ingestion. Anomaly detection scripts flag bad or corrupted data before it ever hits downstream dashboards or AI models.
• Production Resiliency: Building pipelines with native fault tolerance, automated retry behaviors, and real-time monitoring alerts to ensure zero-downtime data delivery.

I operate as an independent expert consultant, meaning you get my direct, senior attention on every line of code and architectural layout—never outsourced to junior resources.

However, I do not work in an isolated silo. I seamlessly align with your internal engineering teams to cross-pollinate best practices. During an engagement, I help bridge the gap by setting up clear git workflows, conducting peer code reviews, and establishing robust CI/CD standards.

Every engagement concludes with comprehensive architecture documentation and dedicated knowledge-transfer runbooks so your team can manage and scale the platform with complete autonomy.

We begin with a brief Discovery Call to map out your core technical bottlenecks and business deadlines. From there, I conduct an initial system audit to build a low-risk architectural blueprint. Depending on your project's scope, I operate under three flexible models:

• Fixed-Scope Deliverables: Perfect for a targeted standalone deployment, cloud infrastructure audit, or an initial AI platform MVP built solely by me.
• Strategic Retainers / Fractional Advisory: Ongoing, regular architectural oversight, high-level code reviews, and technical direction alongside your core staff.
• Long-Term Yearly Contracts: Designed for scaling enterprises requiring a dedicated, deeply embedded architect to champion complex infrastructure overhauls, massive data migrations, or multi-quarter AI engineering roadmaps.