Data Migration & Platform Modernization

Migrate and modernize legacy databases, warehouses, and fragmented reporting into scalable cloud platforms that support reporting, analytics, operations, and AI-enabled use cases.

Legacy & Cloud Migration

Migrate legacy databases, manual extracts, and on-premise warehouses to modern cloud platforms including Snowflake, Databricks, BigQuery, and Redshift.

Data Platform Architecture

Design scalable platform and warehouse architectures that support reporting, analytics, machine learning, and AI-enabled use cases.

Warehouse Modeling

Build dimensional models, marts, and curated data layers that are understandable, performant, and maintainable.

Platform Optimization & Cost Control

Improve the performance, reliability, and usability of existing data platforms, and bring warehouse and platform spend in line with actual workloads.

Data Engineering & Integration

Reliable pipelines and integrations that move data cleanly across systems. Data flows run unattended and fail loudly when something upstream changes.

Pipeline Development

Design and implement ETL and ELT pipelines for structured, semi-structured, and operational data.

API & System Integration

Connect internal and external systems through APIs, webhooks, SaaS connectors, and custom ingestion logic.

Workflow Orchestration

Implement scheduled, event-driven, and dependency-aware workflows using Airflow, Dagster, and managed orchestration platforms.

Batch & Streaming Processing

Support scheduled batch pipelines and streaming or event-driven data flows where real-time insight is needed.

Analytics Engineering & Business Intelligence

Trusted metrics, governed models, and decision-ready dashboards for business teams.

Analytics Data Models

Build reusable, tested models that turn source data into reliable analytical foundations.

Semantic Layers & KPI Standards

Define shared business logic and consistent metrics across reports and dashboards.

Reporting & BI Modernization

Create maintainable reporting models, governed datasets, and scalable BI in Power BI, Tableau, or Looker.

Forecasting & Predictive Analytics

Develop models for demand, volume, operations, customer behavior, and risk.

Data Governance & Quality

Trusted, well-governed data foundations for operations, finance, reporting, and compliance. Quality, monitoring, and ownership are built in.

Data Quality & Validation

Build automated checks for completeness, freshness, accuracy, schema changes, anomalies, and reconciliation.

Data Observability

Monitor pipeline health, data freshness, row counts, distribution changes, and business-critical data flows.

Governance, Compliance & Ownership

Establish practical governance through catalogs, lineage, ownership, and access controls that support regulatory and compliance requirements.

Master & Reference Data

Standardize and reconcile master and reference data across systems and reports.

Data Architecture, Strategy & Remediation

Set data direction, assess existing architectures, and repair unreliable schemas, models, and warehouses, including hardening AI-generated builds for production.

Technology & Data Strategy

Define pragmatic technology and data roadmaps, evaluate platforms and vendors, and prioritize investments.

Schema & Data Model Review

Audit schemas and data models for missing constraints, incorrect data types, normalization problems, and structural risk.

Schema Remediation & Migration

Restructure flawed schemas and data models through tested, staged migrations that preserve data and avoid downtime.

AI-Generated System Data Remediation

Bring AI-assisted schemas and data models to production standard with enforced constraints, correct data types, and audit trails.

Performance & Access-Pattern Tuning

Resolve slow queries, inefficient access patterns, and missing or excessive indexes around real application workloads.

Discuss your project with us

Not every engagement fits a listed category. If your project spans both practices, combines several of these areas, or doesn't match a heading, contact us and describe the systems involved and the outcome the project needs to produce.

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