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nuqtasol

Data warehousing, AI and agentic automation

NuqtaSol is a consulting firm of certified data engineers. We have run warehouses for some of the largest telecoms and banks in the world. Today we move them to the cloud, put AI and agents to work on them, and keep them running around the clock.

A failed nightly load, handled by an operations agent
  1. 02:14SchedulerJob sales_daily failed at step 7 of 12 with a duplicate key error.
  2. 02:14AgentReads the job log and compares it with the last three successful runs.
  3. 02:15AgentFinds the cause: the upstream system delivered the same source file twice.
  4. 02:16AgentProposes a fix: remove the duplicate batch from staging and rerun from step 7.
  5. 02:17EngineerOn-call engineer reviews the evidence and approves from her phone.
  6. 02:22AgentRerun complete. 4,218,903 rows loaded, matching the source count.
  7. 02:23AgentWrites the incident note, closes the ticket and flags the upstream team.
  8. 06:00SchedulerMorning reports delivered on time.

Illustrative example of the kind of agent we build. Nothing changes in production without a person approving it.

Our consultants have delivered for T‑Mobile, Vodafone, Proximus and Barclays.

Four practices, one team

What our agents are allowed to do

An agent that can act is only useful when it is safe. Each one we build works inside four rules, and you set the limits.

Reads
Job logs, run history, query plans, tickets and documentation. Read access only, scoped to what the task needs.
Proposes
A specific fix with the evidence behind it, written so an engineer can judge it in a minute.
Waits
Anything that changes data or costs money stops for a person. You decide where that line sits.
Records
Every step, input and decision is logged and replayable, for your auditors and for our tuning.
See agentic automation

We know what is inside the system you are leaving

Many firms learned the cloud first and treat a legacy warehouse as a box to be emptied. Our consultants administered, tuned and operated those platforms for years. That is why our migrations reconcile, perform and finish.

How we migrate a warehouse

Moving from

  • Teradata
  • Oracle
  • SQL Server
  • Netezza
  • On-prem Hadoop

Moving to

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • AWS
  • Azure
  • Google Cloud

How an engagement runs

  1. 1

    Assess

    A short, fixed-scope review of your platform, workloads and goals. You keep the findings and the plan whether or not you continue with us.

  2. 2

    Modernize

    We move and rebuild in phases and reconcile the data at each one, so value arrives early and risk stays small.

  3. 3

    Automate

    We take manual work out of operations and business processes, and introduce agents where they measurably help.

  4. 4

    Operate

    We run the platform for you around the clock, or hand over to your team with documentation and training.

Tell us what your warehouse is doing at 2am.

Describe your platform and what is bothering you about it. A senior consultant will reply with a straight answer and a sensible next step.

Request a call