One version of the truth
Shared metric definitions end month-end arguments.
Transform your business with Data Platforms
What is a modern data platform?
A modern data platform brings data from your ERP, CRM, IoT devices and SaaS apps into one governed lakehouse or warehouse, refines it in layers and serves trusted metrics to dashboards, applications and AI models — so every team works from the same numbers.
- One governed home for data from every system
- Shared metric definitions behind every dashboard and report
- Clean, documented data ready for machine learning and GenAI
- Senior consultation within one business day
- Architecture, timeline and budget clarity
- Built for secure production delivery
6+Years of delivery experience
130+Projects delivered
23+Experts across disciplines
★★★★★Rated by real clients on Clutch
What we deliver
Data platforms, built to last
Lakehouses, pipelines and governed metrics that make data analytics- and AI-ready.
Lakehouse and warehouse build
Databricks, Snowflake, BigQuery or Microsoft Fabric — designed for your volumes, users and budget.
Data pipelines and integration
Batch and streaming ingestion from ERP, CRM, IoT and SaaS apps, with monitoring and retries.
Data modelling with dbt
Clean, tested and documented models that analysts and AI can rely on.
Governance and data quality
Catalogue, lineage, access policies and quality checks built into the platform.
BI and semantic layer
Governed metrics behind Power BI, Tableau or Looker, so every team sees one number.
AI-ready data
Feature stores, vector search and clean training data for ML and GenAI.
Architecture
Bronze, silver, gold
The medallion architecture refines data in layers, so every dashboard and model is built on data you can trace and trust. Pick a layer.
Bronze layer · raw, as it arrived
Every source lands untouched with full history, so nothing is lost and anything can be replayed.
- Batch and streaming ingestion
- Schema captured on arrival
- Full audit history
Silver layer · cleaned and joined
Duplicates removed, types fixed and records joined across systems into reliable entities.
- Quality checks and tests
- Customer and product matching
- Personal data masked by policy
Gold layer · ready for the business
Business-friendly tables and governed metrics for dashboards, apps and AI.
- Certified metrics
- Star schemas and aggregates
- Feature tables for ML
Self-service analytics
Ask your data a question
With governed gold tables and a semantic layer, anyone can get a trusted answer — in plain language or SQL.
select product, sum(units) as units
from gold.sales_daily
where region = 'West'
and order_date >= current_date - 28
group by product
order by units desc;Footwear and home décor are trending, led by repeat customers. The regional dashboard has been refreshed.
select customer_id, churn_score, top_reason
from gold.customer_health
where churn_score > 0.7
order by churn_score desc;A churn-risk list is ready for the retention team, with the main reason for each customer.
select pipeline, status, finished_at
from ops.pipeline_runs
where run_date = current_date - 1;Every pipeline finished on time. One source sent late files and was retried automatically.
Data maturity
Where are you on the stairs?
Most organisations climb one step at a time. We help you reach the next one — and prove the value on the way.
- Reactive
Spreadsheets and one-off extracts; numbers disagree between teams.
- Managed
A central warehouse with scheduled loads and core dashboards.
- Governed
Shared definitions, lineage, access policies and quality checks.
- Intelligent
Real-time data products feeding ML, GenAI and automated decisions.
Modern data stack
Tools for every stage
We pick proven tools for each stage of the pipeline — open where it helps, managed where it saves effort.
Ingest
Apache Kafka
AirbyteFivetran
Apache Airflow
Apache KafkaAirbyteFivetranApache AirflowStore
Snowflake
Databricks
BigQuery
PostgreSQL
SnowflakeDatabricksBigQueryPostgreSQLTransformdbt
Apache Spark
Python
Apache SparkPythonServePower BI
LookerTableau
FastAPI
LookerTableauFastAPIOutcomes
What changes with data platforms
The results our clients plan for — measured against your own baseline from the first release.
Fresher data
Hourly or real-time loads replace overnight extracts.
Governed access
People see exactly the data they are allowed to.
AI-ready foundations
Clean, documented data your models can use.
Proof from our work
Results we have delivered
Real Pyzen projects, chosen for their relevance to Data Platforms.
Industrial IoTNDA protectedDaikin ManufacturingView case study ↗
IIoT Data Pipeline & Dashboard
Predictive anomaly detection and telemetry aggregation pipelines optimised for industrial manufacturing environments.
45%Cost reduction
200msResponse time
Climate techNDA protectedPassifi TechView case study ↗
Climate Data Classification
Large-scale climate intelligence and environmental classification platform for advanced data processing.
99.8%Accuracy
10xFaster analysis
Insurtech solutionsNDA protectedMax Life InsuranceView case study ↗
Health Data Visualization
Secure analytics suite and health data visualisation platform for high-volume enterprise tracking.
99%Policy accuracy
5xFaster underwriting
Client voices
Buyer confidence for Data Platforms
Specific proof, direct communication and measurable delivery — in our clients’ own words.
Rated by real clientsVerified reviews on Clutch ★★★★★
Pyzen Technologies provided us with a reliable web scraping and data automation solution for our business research needs. Their team understood the requirement clearly, managed the data extraction process professionally, and delivered accurate data on time. We were impressed with their communication, technical knowledge, and support.
I will without a doubt recommend the e-commerce solutions of Pyzen Technologies. Kudos to their amazing staff for the great work. I can proudly say your team will reach great heights.
We were searching for a best app development company in noida for almost two months. Now that we are working with Pyzen Kudos to their entire team. Appreciate your dedicated efforts. Looking to work with you soon in the future!
I needed some mobile application solutions urgently. I can confidently say Pyzen has provided top-notch services on time. I wish to associate with them again soon.
I approached to Shivansh for the development of an AI/ML-based high-throughput tool in the healthcare domain. Their technical team is highly knowledgeable, responsive, and committed to delivering quality solutions. The best part was they scheduled many time to time meetings to show the development of work and take client opinion and feedback on each step. Highly highly recommend
Snowflake, Databricks, BigQuery or Fabric — which is right for us?
Each is excellent; the right choice depends on your cloud, workloads, skills and licences. We run a short comparison on your real use cases and costs before recommending one.
Can you work with the data we already have?
Yes. We connect to your existing databases, ERP, CRM, spreadsheets and SaaS apps, and improve quality step by step rather than waiting for perfect data.
How do we keep costs under control?
Through right-sized compute, auto-suspend, incremental loads, usage dashboards and budgets per team — designed in from the start rather than added later.
How does Pyzen start a Data Platforms engagement?
We begin with goals, users, constraints, systems, risks and the success metric, so the first plan is specific instead of generic.
Can Pyzen work with our existing team?
Yes. We can own delivery, extend your team, or work beside your internal product, design, engineering, QA and security teams.
How do you reduce delivery risk?
We make architecture, integrations, QA, security, release planning and stakeholder approvals visible before they become blockers.
What proof do we get before the full build?
Depending on scope: discovery outputs, prototypes, technical plans, sprint milestones, demos and measurable launch criteria.
More solutions
Explore other solutions
Most programmes combine several of these. We help you choose the right mix.
Start a conversation
Let's talk about Data Platforms.
Emailsales@pyzenlabs.com
Phone+91 99718 38777
NoidaSector 62, Uttar Pradesh
GurugramUdyog Vihar, Haryana