Data Platform & Data Engineering Consulting
We help organizations design, build, modernize, and automate modern data platforms — from cloud infrastructure and data pipelines to analytics, governance, and AI-driven automation.
Executive Summary
BoltPipeline provides hands-on data platform and data engineering consulting for teams operating at scale. We specialize in modern cloud data stacks, SQL-first pipelines, migrations, and automation — delivering production-grade systems that teams can own, operate, and trust.
What We Do
Modern Data Platform Architecture
We design scalable, secure, cloud-native data platforms aligned with analytics and AI needs.
- End-to-end data platform architecture
- Cloud data stacks (Snowflake, BigQuery, Databricks, Redshift)
- Governance, security, and operational best practices
- Performance and cost optimization
Data Engineering & Data Pipelines
We build reliable, maintainable data pipelines teams can operate with confidence.
- ETL / ELT pipeline design and implementation
- SQL-based transformation frameworks
- Data quality checks, validation, and profiling
- Workflow orchestration (Airflow, Dagster, managed services)
Data Migration & Modernization
We migrate legacy systems to modern data platforms with minimal risk and disruption.
- Legacy warehouse and ETL migrations
- Schema redesign and transformation refactoring
- Incremental, low-risk migration strategies
- Validation, reconciliation, and cutover support
Analytics & Data Modeling
We turn raw data into trusted, decision-ready analytics.
- Analytical data modeling
- Metrics and semantic layer design
- Data lineage and consistency design
- Enablement for analytics and BI teams
AI-Driven Data Automation
We apply AI-driven techniques to reduce manual data engineering effort.
- Business-rule-driven pipeline design
- Automated SQL and transformation generation
- Automated data profiling and quality rule creation
- Governance and execution automation
When BoltPipeline Is the Right Fit
Many engagements begin as consulting projects and evolve into long-term platform adoption. BoltPipeline is often introduced when teams want to standardize SQL pipelines, automate validation and governance, or reduce operational risk without rewriting their stack.
Selected Success Stories
- Large-Scale Data Platform Modernization: Migrated legacy data pipelines to a modern cloud platform, reducing pipeline runtimes from days to hours.
- Zero-Downtime Cloud & Data Migration: Led end-to-end migrations with no business disruption and full data validation.
- High-Volume Data Pipeline Engineering: Built data platforms processing 30–50+ TB per day with robust orchestration and monitoring.
- Cost Optimization & Automation: Delivered $650K–$1M+ in annual cost savings through pipeline and infrastructure optimization.
- DevOps & CI/CD Transformation: Implemented automated CI/CD workflows improving deployment reliability across data systems.
How We Engage
We engage where teams need the most leverage — execution, acceleration, or clarity. Our approach adapts to your goals, timelines, and internal capabilities. Teams often start with a well-defined initiative to accelerate delivery, then expand collaboration as impact and trust build.
- End-to-End Delivery: We take ownership of a defined initiative — from design through implementation — and deliver against agreed outcomes and timelines.
- Collaborative Execution: We work alongside your team as an extension of your engineering organization, helping execute pipelines, migrations, and platform initiatives under your technical leadership.
- Advisory & Architecture Reviews: Short, focused reviews to assess your data platform and provide clear recommendations, roadmaps, and implementation guidance.
Who We Work With
Data engineering teams, analytics engineering teams, platform and infrastructure teams, and engineering and data leaders — from early-stage companies to large enterprise environments.
Why Work With Us
- Deep, hands-on data engineering expertise
- Strong focus on production-grade systems
- Proven experience across cloud, data platforms, and pipelines
- Practical solutions — not theoretical frameworks