I build multi-cloud pipelines on Databricks, Snowflake, and BigQuery, and ship AI agents that cut manual work by 85%. No PM layers. No ramp-up. Shipping in 3-7 days.
70%
Faster Pipelines
30%
Lower Cloud Costs
15+
Platforms Delivered
85%
Less Manual Processing
70%
Faster Pipelines
30%
Lower Cloud Costs
15+
Platforms Delivered
Multi-cloud data consulting to ship value quickly and sustainably. Fixed-scope projects, retainers, or staff augmentation.
OCR/IDP, RAG, and LangGraph agent workflows on curated data; evaluations & guardrails baked in.
Azure, AWS, and Google Cloud. Delta Lake / Snowflake, medallion layers, governance, observability.
ADF, Glue, Cloud Composer, Airflow, DBT, Databricks Jobs. Reliable ingestion & transformations.
BigQuery, Redshift, and Snowflake modeling and performance tuning for BI and analytics.
Unity Catalog, IAM, PII handling, lineage, audit, and compliance (SOC2 / HIPAA / PCI).
Monitoring, SLAs, cost / FinOps, incident response, on-call coverage across your stack.
We map your current stack, bottlenecks, and goals. You talk, I listen.
Fixed price, named tools, clear timeline. No surprises, no fluff.
Sprint-based delivery with weekly demos. You see progress from day one.
Real projects, measurable outcomes. Here is what we have shipped for data teams across industries.
70%
Faster Processing
Migrated legacy pipelines to ADF + Databricks, reducing runtime by 70% and costs by 30%. Built data ingestion and orchestration with Delta Lake and CI/CD integration.
Book a discovery call →“Pipeline runs that took 4 hours now finish in under 40 minutes.”
Head of Data Engineering
3×
Analytics Speed
Designed a Medallion-based Lakehouse unifying raw, refined, and business data layers. Improved data reliability, lineage, and analytics speed across multiple business domains.
Book a discovery call →“Our analysts went from waiting days for reports to self-serve in minutes.”
VP of Analytics
85%
Less Manual Work
Built LLM agents for OCR-to-data workflows, automating document parsing and validation. Reduced manual processing by 85% with adaptive templates and RAG-powered context retrieval.
Book a discovery call →“We went from a team of 12 doing manual entry to 2 people reviewing AI outputs.”
Operations Director
Founder, JB Data Solutions
7 years building data platforms across Azure, AWS, and GCP for teams in steel manufacturing, energy, fintech, and logistics. I work directly with your team. No account managers, no handoffs.
Building multi-cloud data platforms and LangGraph AI agents for US enterprises in logistics and fintech. Deep expertise across Azure, AWS, and GCP — with a relentless focus on ETL, governance, and intelligent workflows.
Same-day responses and real-time collaboration with your US-based team.
Fixed-scope options, sprint-based delivery, and quick wins from week one.
Significantly more cost-effective than local US hiring without quality trade-offs.
Full documentation, runbooks, and knowledge transfer built into every engagement.
Need extra hands fast? Get vetted engineers — part-time or full-time — across Azure, AWS, and Google Cloud. Flexible monthly contracts, timezone-aligned, ready to start in days.
3–8 years
Build robust data pipelines and infrastructure at scale.
2–6 years
Transform raw data into analytics-ready, trusted datasets.
4–10 years
Deploy and scale production-grade AI and RAG solutions.
Start in 3–7 days, not months
All engineers thoroughly screened
US timezone coverage guaranteed
Monthly contracts, easy scaling
3 quick steps. We will match you with the right talent within 24 hours.
5 fields. 2 minutes. We will get back to you with a scoped proposal within 48 hours.
I work with a trusted network of vetted specialists. For larger scopes, I bring in engineers I have worked with on 15+ platforms. You get senior talent without agency overhead.
I am US-timezone aligned with same-day responses. All standups, demos, and Slack conversations happen during your business hours.
Three options: fixed-scope projects ($5K-$50K+), monthly retainers for ongoing work, or staff augmentation by the hour. You pick what fits.
Sprint-based delivery with weekly demos means you see progress every 5 days. No long-term lock-in. If the first sprint does not deliver, you walk away.
Azure, AWS, and GCP. Databricks, Snowflake, BigQuery, dbt, Airflow, Spark, Delta Lake. For AI: RAG pipelines, OCR/IDP, and multi-step agent workflows.
Let's talk about your stack, your timeline, and what we can ship together — starting this week.