We help CTOs, Data Directors, and SaaS engineering teams eliminate overnight batch failures, slash ETL processing time by up to 70%, and migrate legacy systems to the cloud — with near-zero production downtime.
No spam. No sales pitch. Just a clear diagnosis of your data bottlenecks.If your engineering team is spending more time firefighting than building, your data pipeline is a liability — not an asset.
Dealing with cascading pipeline failures and engineering teams buried in incident tickets instead of shipping product.
Running aging SSIS or custom ETL that needs modernizing — but lacks the bandwidth to architect and execute safely.
Growing rapidly but your data warehouse can't keep up. Queries timing out, BI dashboards stale, analysts losing trust.
Need a specialist data engineering partner to deliver cloud-native ETL work for clients without expanding headcount.
Every engagement starts with a root-cause audit. Here is what we find most often.
Pipelines that fail silently or crash under volume, creating data gaps and hours of manual intervention weekly.
Brittle on-premise packages with no documentation, no error handling, and no engineer confident enough to refactor.
Reports taking 20+ minutes, deadlocks blocking production writes, and a database not tuned in years.
Azure or AWS bills growing every month with no performance improvement — compute wasted on inefficient jobs.
Executives making decisions on yesterday's data. Power BI reports slow, stale, and losing organizational trust.
Everyone agrees the infrastructure needs modernizing — but nobody has the bandwidth to architect it safely.
Most vendors deliver code and leave. We design systems your team can maintain, scale, and trust — long after the engagement ends.
We are experts at diagnosing what others built wrong — not just building from scratch. We have taken broken SSIS packages from 2010 and rebuilt them as zero-failure cloud pipelines.
We design for scalability, cost efficiency, and long-term maintainability. Every decision is made with your 3-year roadmap in mind — not just the immediate ticket.
Every engagement includes a cloud cost review. We typically reduce Azure and Databricks spend by up to 30–50% through Delta optimization, partition tuning, and right-sized compute.
Real hands-on experience from SQL Server 2008 through modern Fabric/Lakehouse architectures — across healthcare, retail, and enterprise SaaS.
Typical Vendors vs. SnapDataTech
| Criteria | Typical Vendors | SnapDataTech |
|---|---|---|
| Focus | Delivery only | Delivery + Cost + Scale |
| Documentation | Minimal | Full arch docs + runbooks |
| Production Risk | Big-bang cutover | Parallel deploy + rollback |
| Cloud Cost Review | Not included | Included in every engagement |
| Post-Launch Support | Billed separately | 30 days included |
Every service is tied to a measurable business outcome — reduced costs, faster pipelines, or higher data reliability.
Migrate legacy on-premise SSIS to fully managed, cloud-native ADF or Databricks pipelines — with zero production downtime and a validated rollback strategy built in from day one.
Design and implement Databricks Lakehouse architectures using PySpark, Delta Lake, and Unity Catalog to process terabytes reliably at 35–50% lower compute cost.
Turn 20-minute queries into sub-second responses. We diagnose deadlocks, rebuild indexes, rewrite slow stored procedures, and design reporting-ready schemas that scale.
Architect a unified Bronze/Silver/Gold Medallion model on Microsoft Fabric or Synapse, enabling Power BI Direct Lake mode for sub-second executive dashboards.
Every number below is from an actual client engagement — no rounding, no estimates.
Healthcare IT · SQL Server (On-Premise) → Azure Data Factory + Azure SQL DB
Enterprise SaaS · Fragmented Data Sources → Microsoft Fabric + OneLake + Power BI Direct Lake
Enterprise SaaS · Raw APIs → Databricks Lakehouse + Delta Lake + Unity Catalog
A battle-tested 4-phase system for modernizing enterprise data infrastructure without disrupting your business.
Deep technical review of your pipelines, database schemas, query plans, and cloud spend. You receive a prioritized bottleneck report with estimated ROI for each fix — within 3 business days.
We design the target-state architecture with full documentation: data flow diagrams, infrastructure specs, compute sizing, and cost forecast. Everything approved before a single line of code is written.
New pipelines run in parallel with your existing system. We validate data integrity row-by-row before any production cutover — guaranteeing zero data loss and zero downtime on switchover day.
Post-launch, we tune performance under real production load, reduce compute costs, and provide full runbooks, monitoring dashboards, and 30 days of free post-launch support.
All changes are validated in staging before any production rollout. Your data integrity is non-negotiable.
From raw API ingestion to executive dashboard — we cover the complete modern data engineering stack.
Connect to any source — REST APIs, databases, file systems, and message queues — with reliable, monitored ingestion patterns.
Apply business logic, data quality rules, and complex transformations at scale — from megabytes to terabytes.
Design the right storage tier for every use case — raw Data Lakes to curated analytical warehouses optimized for speed and cost.
Every pipeline is orchestrated, monitored, and alerting on failure — so you know about problems before your analysts do.
Connect your curated Gold layer to BI tools — optimized for speed, with semantic models your analysts can trust completely.
Platform-agnostic expertise across all major cloud providers, with deepest specialization in the Microsoft Azure ecosystem.
Every engagement includes a full risk mitigation strategy. Your production environment is never touched until everything is validated in staging.
New pipelines run alongside your existing system. We only cut over after row-count, checksum, and business-logic validations pass completely.
Every deployment includes a documented rollback plan. If anything is wrong post-cutover, we restore the previous system within 15 minutes.
We validate data integrity at source, staging, and target before any business data is considered migrated and production-ready.
All changes are validated in a staging environment mirroring production. Nothing touches live data until it has been tested and signed off.
"The ETL migration was seamless. Critical reports were rewritten and our reporting is now 40% faster. The technical expertise and communication were outstanding — they clearly understood the business impact, not just the code."
"Outstanding experience. Professional, detail-oriented, and highly skilled — they exceeded every expectation. A top-notch Data Engineer who made a complex migration feel completely manageable. Collaboration was seamless throughout. 🙌"
"Excellent work delivered once again — clear communication, consistently high quality, and impressively fast turnaround every single time. This is a team you can genuinely rely on for mission-critical data work."
Identify your biggest data bottlenecks, get a cost reduction estimate, and leave with a clear action plan — in 30 minutes, at no cost.
Get clear insights into performance bottlenecks and cost leaks — before they get worse.