Big DataServices
Data lakes, pipelines and platforms that handle scale gracefully. Our senior-led engineering teams combine domain strategy, human-centered UX and modern cloud architecture to deliver measurable outcomes.
Petabyte Scale
Data Lakehouse
Sub-Second
Streaming Analytics
dbt & Spark
Reliable Data Pipelines
Governance
Automated Data Lineage
Our Big DataCapabilities
Comprehensive big data capabilities tailored to your organizational scale.
Data Lakes
Architect, build and optimize data lakes with senior Konsilience specialists, with automated CI/CD and observability built in.
Data Pipelines
Architect, build and optimize data pipelines with senior Konsilience specialists, with automated CI/CD and observability built in.
Stream Processing
Architect, build and optimize stream processing with senior Konsilience specialists, with automated CI/CD and observability built in.
Data Warehousing
Architect, build and optimize data warehousing with senior Konsilience specialists, with automated CI/CD and observability built in.
Data Governance
Architect, build and optimize data governance with senior Konsilience specialists, with automated CI/CD and observability built in.
Data Migration
Architect, build and optimize data migration with senior Konsilience specialists, with automated CI/CD and observability built in.
Why Choose Konsilience
What makes our teams different.
Senior-led teams
Every engagement is led by architects and product leads with 10+ years of experience.
AI-first delivery
AI-assisted engineering and QA shorten timelines without cutting corners.
Secure by design
ISO 27001-aligned processes, NDAs and compliance mapping from day one.
Weekly demos
Working software every sprint, so you see progress, not status reports.
Our Process
Discover
Workshops to align on goals, users, constraints and success metrics.
Design
UX flows, prototypes and architecture validated with real users.
Build
Agile sprints with weekly demos, CI/CD and automated testing.
Launch
Hardened release, monitoring, store submission and go-live support.
Scale
Continuous improvement, analytics and SLA-backed support.
Tools & Technologies
Related Work
Engagement Models
Fixed Scope
Defined scope, timeline and price. Ideal for MVPs and well-specified projects.
- Clear milestones
- Predictable budget
- Outcome-based delivery
Dedicated Team
A cross-functional squad that works as an extension of your company.
- Full-time specialists
- Scale up or down monthly
- You set priorities
Time & Materials
Flexible engagement for evolving products and ongoing roadmaps.
- Pay for actual effort
- Change scope anytime
- Transparent reporting
Ready to start your Big Data project?
Share your idea and get a detailed estimate within 48 hours.
Big Data FAQs
We build and manage data architectures on Databricks, Snowflake, Apache Spark, Kafka, dbt, Apache Airflow, and BigQuery.
A Data Lakehouse combines the cost efficiency and scale of object storage (S3) with the ACID transactions, schema enforcement, and SQL querying capabilities of traditional data warehouses.
We implement automated testing with dbt tests and Great Expectations, validating schema drift, null values, and distribution anomalies before data reaches dashboards.
Yes. We convert legacy SQL stored procedures, map data types, automate historical backfills, and run dual-pipeline reconciliations to ensure 100% data parity.