Data Engineering Consulting
Build scalable AI/ML platforms to discover better insights with diversified data engineering consulting services
Talk to Our Data Engineering Consultant
Data engineering consulting helps you assess your data setup, build pipelines and governance, migrate to cloud, and run operations - so your team stops spending over 70% of their time on data prep.
Our Data Engineering Consulting ensures advising, building, and operating. You get a platform that works in production and stays reliable.

We map your target platform, pick tools, and set a clear migration plan you can follow.

We implement data lakes, warehouses, and lakehouses with automated pipelines and testing so you get repeatable results.

We set catalog rules, lineage and quality checks so you trust your data and meet audits.

We ingest data from APIs, files and legacy systems and transform it for analytics.

We build pipelines with alerts and retries so data arrives when you expect it.

We initiate with deploying and monitoring models, and automate retraining so models stay accurate.

We then design schemas and further fine tune performance, so analysts get answers fast.

Then, we store raw and curated data together and proceed with managing schema evolution for analytics and ML.

We create a virtual layer so you can query data across systems without copying everything.

We help teams own their data while keeping centralized guardrails for quality and security.

We also scale processing and storage, so your large datasets do not slow your analytics in anyway.

We add CI/CD, testing and monitoring to your pipelines so you ship safely and fast.
Book a 30-minute workshop to map your current data gaps and get a clear, prioritized roadmap for next steps.
Schedule 30‑min call
Snowflake Cloud Data Platform
We implement Snowflake Data Cloud, so you separate storage and compute and pay only for what you use.
Sancus (AI-powered data quality)
We apply AI to clean and enrich data, so your reports and models use accurate inputs.
T-Ingestor (AI-powered data management)
We onboard sources fast with a metadata-driven ingestor that keeps catalogs current.
T-Voyager
We deliver visualization tools that help your teams spot trends and act on them.
Get faster insights when data flows reliably into analytics and ML systems.
Remove silos so your teams can find and use trusted datasets fast.
Automate ingestion, transformation and delivery to cut manual work.
Protect sensitive data with controls that stand up to audits.
D.R.E.A.M Framework

We combine practical engineering, business context and reusable accelerators to deliver measurable outcomes.

We reuse proven components, so you get value faster and avoid unnecessary rework.

We apply tested delivery patterns focused on reuse, automation and operational maturity.

We tailor approaches for automotive, retail, telecom, finance, healthcare and manufacturing.
Try a guided demo of our ingestion and quality accelerators to see how they cut onboarding time for sources.
Request Free demoAccelerate generation and adoption of actionable insights through mature data platforms leveraging our data engineering solutions and services
We run automated checks, remove duplicates, and fix formats so teams get clean data fast. We add simple monitors and periodic audits so errors show up quickly and you can trust reports.
We prepare labeled, versioned datasets and build repeatable pipelines for features and training. That makes model runs reproducible and speeds deployment into production.
Files arrive in different shapes and at different times. We standardize formats, automate transforms, and set clear SLAs so data arrives consistent and on schedule.
We assess your stack, pick priority workloads, and migrate in phases. We test performance and governance after each phase so production stays stable.
Yes. We add governance, encryption, anonymization, and strict access controls. We keep lineage and audit logs so you can prove compliance quickly.
DataOps applies CI/CD, tests, and monitoring to data pipelines. It cuts manual fixes, speeds delivery, and keeps downstream teams working with trusted inputs.
Yes. We provide round-the-clock DBA and platform support, plus high availability and disaster recovery, so you minimize downtime and risk.
We apply role-based access, strong encryption in transit and at rest, and tokenization or anonymization where needed. We log access and alert on odd behavior.
We match tools to your goals, team skills, and budget. We run quick pilots when useful and pick the stack that lowers risk and speeds time-to-value.
We automate ingestion and transforms, centralize trusted datasets, and standardize names and lineage. Analysts spend more time on insight and less on cleaning.
Use the contact form below for any questions or requests related to our services.