Data platforms,
engineered forMicrosoft Fabric
Intellytiq Solutions gives companies the technical capability and senior skillsets to design, build and run modern data estates on Microsoft Fabric, Databricks, Snowflake, SQL Server and Azure.
- Per-day or project basis
- Rates below typical market prices
- Guaranteed delivery
- 24×7 support, 365 days a year
A specialist team that turns complex data into dependable, decision-ready platforms.
From a single pipeline to a full enterprise lakehouse, we embed senior engineers who ship, document and hand over, wherever you are in the world.
Companies we have worked with
Flexible, affordable and guaranteed.
Pick the engagement that fits. Every option comes with rates below typical market prices and delivery you can count on.
Hire by the day
Need an expert for a day, a week or a month? Book a senior engineer on a simple per-day basis. No long contracts, start and stop when you need.
Fixed-scope projects
Hand us the whole project. Clear scope, clear price and end-to-end delivery, for less than you would typically pay elsewhere.
Guaranteed delivery
We commit to agreed milestones and acceptance criteria, with visible progress every week, so you know exactly where your project stands.
Always on. Every hour of every day.
Follow-the-sun engineers across time zones watch your platforms, pipelines and databases around the clock, including weekends and public holidays.
- Incident response at any hour, on any day of the year
- Proactive monitoring that catches issues before your users do
- One accountable team, with no handover gaps between time zones
One partner. Every layer of the data stack.
See what we build, in action.
Platforms, pipelines, security and AI, delivered end to end.
From first call to production, in five clear steps.
A transparent delivery model that keeps architecture, cost and quality visible at every stage.
Pipelines that run while you sleep.
Orchestrated, observable and cost-aware from day one. Every run reports throughput, data quality and spend.
- Live lineage from source to dashboard
- Automated quality gates on every layer
- Cost guardrails with FinOps reporting
Code you can read.
Pipelines you can trust.
Every delivery ships with tests, CI/CD, monitoring and documentation, built on open formats like Delta and Parquet so you are never locked in.
# Silver layer: idempotent, tested, observable from pyspark.sql import functions as F from delta.tables import DeltaTable bronze = spark.readStream.table("lake.bronze.orders") clean = (bronze .dropDuplicates(["order_id"]) .withColumn("amount", F.col("amount").cast("decimal(18,2)")) .filter("amount >= 0")) def upsert(df, _): (DeltaTable.forName(spark, "lake.silver.orders").alias("t") .merge(df.alias("s"), "t.order_id = s.order_id") .whenMatchedUpdateAll().whenNotMatchedInsertAll().execute()) clean.writeStream.foreachBatch(upsert).start() # ✔ 99.9% pipeline reliability
The platforms we master.
Certified, hands-on experience across the modern data stack.
Trusted by teams that ship.
Sample feedback shown. Replace with real client quotes from the admin panel.
From the blog.
Questions, answered.
Let’s build your data advantage.
Hire us per day or for a fixed project, at rates below typical market prices, with guaranteed delivery and 24×7×365 support. We reply fast, on any day of the year.