Data with Direction
The smarter bank isn’t built on more data. It’s built on better use of it.
At Maveric, we help financial institutions turn raw data into strategic advantage. With deep BFS domain know-how, engineering-first execution, and proven AI frameworks, our data transformation services are built to do more than process, they perform.
Whether you’re modernizing legacy platforms, scaling AI/ML, or enabling real-time decisioning across functions, our capabilities are modular, secure, and regulatory-first.
From ingestion to intelligence. From governance to growth.
We bring a domain-deep, AI-powered approach to every data problem you face
Focused Services to De-Risk Transformation
Data Validation
Build Trust Before Transformation
- Data Profiling & Validation – Automate rule-based validation across sources
- Data Cataloging & Lineage – Drive transparency using Apache Atlas, Alation, Collibra
- Data Cleansing & Enrichment – Fix inconsistencies and enhance with NLP and references
- Regulatory Compliance – Classify, mask, and govern sensitive data by regulation
- Data Governance & Monitoring – Ensure integrity using platforms like Monte Carlo, Great Expectations
Data Engineering
Design for Now. Scale for Next.
Resilient data pipelines engineered for today’s velocity and tomorrow’s complexity.
- Data Ingestion & ETL/ELT Pipelines – Build with Apache NiFi, Spark, dbt, Glue
- Real-time & Batch Data Processing – Architect low-latency pipelines with Kafka, Flink
- Data Lakes & Warehouses – Enable unified analytics on Snowflake, Databricks, BigQuery
- Master & Metadata Management – Ensure quality and traceability with Informatica, Atlas
- Data Modeling – Optimize for analytics and AI with vaults, dimensions, and semantics
Data Modernization
From Legacy Stack to AI Stack
Reimagine your foundation for speed, agility, and scale.
- Enterprise Data Architecture – Align business strategy with secure, scalable design
- Cloud Data Platform Architecture – Migrate to Snowflake, Redshift, BigQuery, Databricks
- Data Mesh & Data Fabric – Enable decentralization with federated governance
- Data Platform Management – Full lifecycle operations (on-prem/cloud-native)
Build & Enhance – Intelligence Beyond BI
BI & Advanced Analytics – From Dashboards to Decisions
Visualization & Reporting
Power BI, Tableau, Looker for real-time insights
Predictive & Prescriptive Modeling
Forecast and simulate with statistical & ML models
ML Automations
Deploy MLOps pipelines with SageMaker, Azure ML, MLflow
ML Modeling
Solve for anomalies, documents, text, and sentiment at scale
Support Demand – DataOps & MLOps for the Real World
MLOps
Turn Models into Measurable Value
Because a model not in production is just potential.
- Testing & Validating Data, Schemas, and Models
- CI/CD for Models – Automate testing, rollout, rollback with CML, MLflow, Kubeflow
- Model Retraining & Serving – Trigger-based retraining, containerized APIs, A/B testing
DataOps
The Ops Layer for Data at Scale
Operationalize quality, compliance, and agility.
- Data Pipeline Monitoring – Airflow, Monte Carlo, Datadog observability
- Environment Management – Govern access, usage, and runtime isolation
- CI/CD for Data Pipelines – GitOps + Docker + Jenkins = Fast, Controlled Releases
Our Partners
