What we do?
Data Strategy and governance
Data Architecture and System Design
ETL/ELT & Data Pipeline Development
Data Migration (to Cloud) & Integration
Big Data processing and Real time Analytics
Data Quality, Security and Compliance
DevOps for Data
Support & Optimization
Our Process
Discovery and Alignment
Data Assessment and Planning
Solution Design
Implementation and Integration
Testing and Validation
Deployment and Training
Monitoring and Optimization
Why Choose us?
Deep Technical Expertise
Scalable and future ready solutions
Security and compliance focussed
Data Understanding
Relational databases (SQL)
NoSQL databases (MongoDB, Cassandra)
Data warehouses (Snowflake, Redshift, BigQuery)
Data Pipelines
Batch processing (Apache Hadoop, Spark)
Stream processing (Apache Kafka, Flink)
ETL/ELT processes
Data Integration
APIs for data access
Data federation
Data versioning
Big Data Ecosystem
Distributed systems (Hadoop, Spark)
File formats (Parquet, Avro, ORC)
Cluster management (Kubernetes, Docker, YARN)
Cloud Platforms
AWS (S3, EMR, Lambda)
Azure (Data Factory, Synapse Analytics)
Google Cloud (BigQuery, Dataflow)
Data Governance
Data security and encryption
Data quality management
Compliance (GDPR, CCPA)
Data Transformation
Data cleansing
Aggregation and summarization
Schema design and migration
Real-Time Processing
Real-time analytics
Event-driven architectures
Tools (Apache Kafka, RabbitMQ)
Monitoring and Debugging
Observability in data pipelines
Debugging data flows
Monitoring tools (Prometheus, Grafana)
Automation and Scheduling
Workflow orchestration (Apache Airflow, Prefect, Dagster)
Automation frameworks
Cron jobs and serverless automation
Scalable Architecture
Horizontal scaling of systems
Distributed databases
High availability and fault tolerance
Programming for Data Engineering
Python and Java for scripting
SQL for querying
Shell scripting for automation
Learn more about Preferhub’s Data engineering expertise now!
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