The migration is slipping
Moving SQL Server, Oracle or legacy ETL to the cloud stalls without the specialist skills to convert, validate and reconcile every object.
A stalled migration. Numbers that won't reconcile. Data you're holding longer than you should. AI ambitions sitting on shaky foundations. Book a discovery call and talk it through with senior engineers who have solved it before, using the platform you already own.
Most organisations don't need another tool. They need the trust and automation layer between their platform's promise and the business value it is supposed to deliver.
Moving SQL Server, Oracle or legacy ETL to the cloud stalls without the specialist skills to convert, validate and reconcile every object.
Did every record make it from source to target? Without automated quality checks and load audits, every report starts an argument.
Data held past its retention period is regulatory exposure. Manual disposal across platforms is slow, error-prone and hard to prove.
Knowledge is scattered across Zendesk, SharePoint and databases, and the data feeding AI isn't governed or reliable enough yet.
Every new dataset means manual discovery, profiling, mapping and governance checks, done slightly differently on every project.
You need experienced data engineers now, without a long hiring cycle or the overhead of a large consultancy.
Four capability areas, all delivered inside your existing environment so the IP, the control and the knowledge stay with you.
Batch and incremental pipelines, ELT/ETL, medallion architectures, SQL, Python, PySpark and API-based integration across Azure, Google Cloud, AWS, Snowflake and Databricks.
Automated reconciliation, data quality frameworks, load audits, PII classification and masking, data dictionaries, and controlled retention and disposal.
Legacy-to-cloud database conversion, schema mapping, migration rehearsals, validation, reconciliation and cutover support, accelerated by Noviq Shift.
Trusted data for BI and analytics, enterprise knowledge search with Snowflake Cortex, and AI-assisted data onboarding with Noviq, with humans in control of key decisions.
No sales deck marathon. A practical conversation with the people who would actually do the work.
Choose a slot that suits you on our calendar. Add a line about the problem so we come prepared with relevant examples.
We map your platform, data sources and constraints, pinpoint the bottleneck, and look at what can be solved within the technology you already own.
You receive a short summary and a recommended next step. If we're a fit, we propose the engagement model that matches the work.
The discovery call is free. You'll walk away with:
Big Four quality, delivered by the people who write the code, at a fractional cost.
In every one of these engagements, nothing new was purchased. The logic was written directly in the client's own ecosystem.
Neeraj and his team are highly professional, detail-oriented, and collaborative. Their deep technical expertise and proactive problem-solving made a measurable impact on our data ecosystem.
Srilata Nutakki, MetLifeNo. The call is free and there's no obligation to engage us afterwards.
Senior members of The Data Guyz team. The firm is founder led: Neeraj 'Rohan' Choraria brings 16+ years of hands-on delivery across organisations such as Woolworths Group, Transport for NSW, IAG, Optus and Deloitte, and stays close to architecture decisions.
No. We work inside the platforms you already own and write the logic in SQL, Python and metadata in your environment, so the IP and control stay with you. Our Noviq tools are deployed inside your environment, not sold as a locked platform.
Google Cloud (BigQuery, Dataflow, Composer), Microsoft Azure and Fabric, AWS, Snowflake (including Cortex), Databricks, and related tooling such as Matillion, PostgreSQL and Power BI.
Nothing formal. A rough idea of your platform, the data involved and what "fixed" would look like is plenty. Please don't share confidential data or credentials on the booking form.
We send a short summary and a recommended next step. If it makes sense to work together, we propose a fixed-scope project, a specialist squad or staff augmentation.
Use the technology you already own. Build the capability you actually need.