We build resilient Lakehouse architectures and enterprise-grade AI solutions. No black boxes. Just scalable, high-impact engineering using Iceberg, dbt, and LLMs.
Trusted by Engineering Teams At
We don't do general IT support. We specialize in six high-impact engineering disciplines required to build a modern Data Platform.
Moving beyond legacy warehouses. We implement open table formats (Iceberg, Delta) and event-driven pipelines for real-time data availability.
RAG-powered assistants and fine-tuned domain models. We build secure, private AI that understands your internal documentation and context.
Infrastructure as Code. We treat your data platform like software, using Kubernetes and Terraform for reproducible, scalable deployments.
Dashboards that load in milliseconds. We optimize your semantic layer and modernize your reporting stack for true self-service analytics.
Deploying models to production, not just notebooks. We handle the full lifecycle from feature engineering to drift monitoring.
Pre-designed data models for Fintech, Telco, and Manufacturing. We understand the specific KPI nuances of your industry.
BUSINESS IMPACT
We don’t stop at dashboards or models. We measure how architectures, pipelines and ML actually move revenue, cost and risk.
Time-to-Insight
72%
Faster delivery of analytics pipelines after migrating to a modern lakehouse stack.
Platform Cost
40%
Reduction in infrastructure & tooling spend by consolidating legacy platforms into open formats.
Operations
18%
Fewer unplanned production incidents with monitored, versioned data pipelines.
Data Quality
90%
Drop in critical data issues after implementing testing, observability and governance practices.
PAYMENTS & FINTECH
Built an analytics engine and data model for payment gateways and BNPL, enabling sub-second risk scoring, portfolio monitoring and merchant-level profitability insights.
Outcome: fewer bad loans, better conversion.
TELCO & LAKEHOUSE
Consolidated multiple Hadoop / Cloudera environments into a single open table format lakehouse, simplifying governance and unlocking consistent subscriber & network analytics.
Outcome: lower run cost, simpler scaling.
RETAIL & DEMAND
Delivered forecasting models and data pipelines that feed inventory, pricing and campaign decisions with granular, reliable demand signals.
Outcome: less stock-out, less dead stock.
We don't just deliver projects; we deliver intellectual property. Our pre-built frameworks and accelerators slash time-to-value for complex data initiatives.
-- Datazza PayLynx: Real-time Merchant Risk Scoring Model WITH recent_transactions AS ( SELECT merchant_id, transaction_amount, to_timestamp(event_time) as tx_time, CASE WHEN status = 'CHARGEBACK' THEN 1 ELSE 0 END AS is_cb FROM raw_payments.kafka_stream WHERE event_time > current_timestamp() - INTERVAL '1 hour' ), merchant_aggregates AS ( SELECT merchant_id, COUNT(*) AS tx_volume_1h, SUM(transaction_amount) AS tx_value_1h, SUM(is_cb) * 1.0 / COUNT(*) AS chargeback_rate FROM recent_transactions GROUP BY 1 ) -- Calculate dynamic risk score based on velocity patterns SELECT m.merchant_id, m.tx_volume_1h, m.chargeback_rate, CASE WHEN m.chargeback_rate > 0.05 AND m.tx_volume_1h > 100 THEN 'HIGH_RISK' WHEN m.tx_volume_1h > m.avg_daily_volume * 5 THEN 'VELOCITY_ALERT' ELSE 'NORMAL' END AS current_status FROM merchant_aggregates m JOIN gold.merchant_profiles p ON m.merchant_id = p.id;
Most consultancies sell you senior experts but deliver with juniors. Datazza is different.
We communicate with clarity and integrity. If an architecture is flawed or a timeline is unrealistic, we state it openly, because transparency is essential to delivering real value.
HQ in Kocaeli.
Branch in Istanbul.
Projects in MEA & Europe.
Deep Tech & Applied Research
Datazza Academy
All programs within Datazza Academy are designed, architected, and developed end-to-end by Dr. Ahmet Melih Selçuk . Each curriculum is crafted with real-world production experience, ensuring that our trainings reflect the same engineering rigor we apply in enterprise projects.
Programs
High-frequency data with zero margin for error.
We partner with leading fintech, telco and manufacturing companies to build production-grade data platforms and AI solutions.
Leading Fintech Provider
Designed an Iceberg-based Lakehouse and real-time risk engine for payments and BNPL, reducing fraud losses while keeping latency under 200ms.
Tier-1 Telecom Operator
Re-architected data ecosystem by migrating four production Cloudera clusters to the Cloudera Lakehouse stack, enabling ACID-compliant storage, unified governance, accelerated ETL pipelines and cost-efficient scale-out analytics.
Major Banking Institution
Orchestrated the deployment of Lakehouse architecture, managing engineering squads to deliver a high-performance data platform that accelerates analytics, standardizes governance, and reduces operational complexity.
National Industry & Technology Initiative
Facilitated AI and data analytics trainings to empower digital transformation with intelligence. Participation of 500+ professionals across various industries elevated AI awareness an capabilities of the workforce.
Large-Scale Retail Group
Delivered Data Science consultancy out customer, developing demand forecasts, customer analytics, and optimization models that improved planning accuracy and supported data-driven commercial strategies.
Technology Subsidiary of a Leading Participation Bank
Supported with dedicated Data Engineering consultancy, managing daily data operations and developing scalable Microsoft stack pipelines that strengthened their enterprise analytics capabilities.
We collaborate with global technology and innovation leaders to deliver enterprise-grade data platforms and AI solutions.
Advanced Analytics & AI Implementation Partner
Industry 4.0 Training & Applied AI Program Partner
dbt Core & Lakehouse Transformation Partner
Engineering & Lakehouse Transformation Partner