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CIEL

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Building Lightning-Fast Big Data & Analytics Pipelines That Unlock Actionable Insights

Ciel Technology engineers petabyte-scale data platforms processing 10TB+ daily with sub-second query response times, transforming raw data lakes into real-time business intelligence. Our data architects design end-to-end pipelines—from ingestion to ML feature stores—delivering 100x faster analytics and 40%+ operational efficiency gains for enterprises processing billions of events daily. We don't just move data—we create intelligence platforms that drive million-dollar decisions.

Let’s connect and launch your next mobile success story.

Our Proven Impact Over the Years

Our data team has built 75+ analytics platforms processing 50PB+ data with 99.99% query SLA across fintech, e-commerce, and gaming.

7+ years

Big data engineering expertise

75+

Analytics platforms deployed

50PB+

Data processed annually

25+

Industries data-enabled

Choosing the Right Data Partner Prevents Analytics Paralysis

Partner with Ciel Technology for production data platforms that scale from terabytes to petabytes without re-architecture.

Why CDOs Choose Ciel Data

Ex-Netflix & Uber Data Engineers

Senior data engineers from companies processing 2PB+/day with zero-downtime migrations.

Real-Time Intelligence

Sub-second analytics on streaming data—not yesterday's batch jobs.

ML-Ready Data Products

Feature stores, data contracts, and governance enabling AI at enterprise scale.

Our Big Data & Analytics Services

Ciel Technology delivers complete data platforms from ingestion to executive dashboards.

Real-Time Data Pipelines

Streaming platforms processing millions of events/second with exactly-once semantics.
Capabilities include:

  • Kafka → Flink → Iceberg streaming pipelines
  • 10M+ events/sec with <100ms latency
  • Schema evolution and backward compatibility
  • Multi-region geo-replication
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Data Lakehouse Architecture

Unified analytics on petabyte-scale data lakes with ACID transactions and time travel.
What we offer:

  • Apache Iceberg + Trino + Spark lakehouse
  • Zero-ETL from SaaS apps (Snowflake, BigQuery)
  • Table format interoperability (Delta/Hudi/Iceberg)
  • Governance, lineage, and data quality automation
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Advanced Analytics & ML Platforms

Feature stores, experiment tracking, and model serving for enterprise AI.
Services include:

  • Feast Tecton feature stores with online/offline serving
  • MLflow Weights & Biases experiment tracking
  • Real-time inference pipelines (Seldon, KServe)
  • A/B testing infrastructure at 100M+ user scale
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Executive BI & Data Democratization

Self-service analytics with embedded dashboards and natural language querying.
Expertise includes:

  • dbt semantic layer + Looker/Mode BI
  • Natural language BI (ThoughtSpot, Hex)
  • Embedded analytics in CRM/SaaS products
  • Row/column-level security across 10K+ users
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Technology Stack at Ciel Big Data

Production infrastructure for petabyte-scale analytics and real-time intelligence.

Streaming

Kafka 3.7

Flink 1.18

Kinesis

Pulsar

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Storage

Iceberg

BigQuery

MinIO

Snowflake

S3

Processing

Spark 3.5

Trino

DuckDB

Polars

Orchestration

Airflow 2.9

Dagster

Prefect

Flyte

BI/ML

dbt 1.8

Looker

Metabase

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Why Enterprises Trust Ciel Data

99.99% query SLA across 10K concurrent users
100x cost reduction vs traditional warehousing
Sub-second streaming analytics on 1TB+/day
Zero data loss with exactly-once processing

Trusted by Data Leaders Worldwide

Ciel data platforms power analytics for fintech, gaming, e-commerce, and healthcare globally.

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Our Data Platform Process

01

Data Strategy

Current state audit, TCO analysis, success metrics, roadmap planning.

02

Architecture Design

Lakehouse schema, streaming topology, governance framework.

03

Pipeline Implementation

 Parallel ingestion → transformation → serving with CI/CD.

04

ML/Analytics Enablement

 Feature stores, BI embedding, self-service tooling.

05

Production Hardening

 Load testing, cost optimization, 24/7 monitoring/SRE.

Connect With Our Data Architects

Schedule a data strategy workshop with our Head of Data Engineering.

Learn more

Selected Big Data & Analytics Projects

🏠 ProspectX – Real Estate CRM Analytics

 Industry: PropTech
 Data Volume: 50M+ leads, 1TB+ marketing data
 Django/React CRM with real-time analytics across campaigns, leads, and transactions. Elasticsearch-powered search across 10M+ records with sub-100ms response. Custom ML lead scoring increased conversion 28%.
 🔗 Live Platform

📱 Centric – Social Video Analytics Pipeline

 Industry: Social Media
 Data Volume: 100M+ videos, 1PB+ metadata
 Real-time video classification pipeline processing Twitter/Instagram content through Elasticsearch + ML models. AI classifies videos into 50+ channels with 92% accuracy. Powers 5M+ DAU social app.
 🔗 App Store

🏦 Prominence Bank – Transaction Analytics

Industry: FinTech
 Data Volume: 10B+ transactions, 5PB+ raw data
 Complete banking lakehouse with real-time fraud detection, customer 360, and regulatory reporting. Kafka→Flink→Iceberg pipeline processing 1M+ tx/sec with sub-second analytics latency.
 🔗 Live Platform

🎮 MonkeyBall – Gaming Analytics Platform

Industry: Web3 Gaming
 Data Volume: 500M+ game sessions, blockchain tx
 Real-time player behavior analytics across Solana blockchain events + in-game telemetry. ML models predict churn 72hrs early (87% accuracy). Drives 42% LTV improvement.
 🔗 Live Game

🚀 Altio Tech – Investment Analytics

 Industry: Wealth Management
 Data Volume: 50K+ instruments, tick-level data
 Market data lakehouse consolidating Bloomberg, Alpha Vantage, and proprietary signals. Real-time risk analytics and portfolio optimization for 10K+ HNW clients.
 🔗 Platform

What You Can Expect to Achieve

Petabyte-Scale Performance

Sub-second queries on 10TB+ datasets with 10K concurrent users.

Real-Time Intelligence

Streaming analytics on data <100ms old—not yesterday's batch files.

100x Cost Reduction

Lakehouse replaces 5+ specialized warehouses with unified analytics.

ML Democratization

Self-service feature store enabling 10x faster model development.

What Our CDOs Say

Ciel's lakehouse cut our analytics costs 92% while delivering real-time insights. ProspectX search went from 5s to 80ms—agents close 23% more deals daily.

Frequently Asked Questions – Big Data Pipelines

Data lake vs lakehouse vs warehouse—which wins?

Lakehouse: ACID Iceberg tables + open formats + ML support beats both silos.

Streaming for customer-facing (99% use cases), batch for compliance reporting only.

 Open lakehouse: 10x cheaper at PB scale, full governance, ML-native architecture.

MVP pipeline: 30 days. Production lakehouse: 90 days. Self-service BI: 6 months.

 ELT always: dbt transformations on raw data lakes beat rigid ETL schemas.

Cloud-agnostic Iceberg tables + Trino federation = workload optimization everywhere.

Collibra/Amundsen lineage + OpenMetadata + Iceberg table-level governance.

70-90% reduction through spot instances, Iceberg compaction, query optimization.

Feature store built on lakehouse: online/offline serving with full lineage.

dbt semantic layer + natural language query + embedded dashboards = true democratization.

Partner with Ciel Technology Data for analytics platforms that scale with your ambition.

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