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Data Engineering & Architecture

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Data Engineering & Architecture

Cloud-Native Platforms and Enterprise Data Solutions

Enterprise Data Engineering

We design and implement robust data architectures that enable organizations to harness the full power of their data. Our solutions span from real-time streaming to enterprise data lakes, built on modern cloud-native platforms.

Cloud-Native Platforms

  • AWS (S3, Redshift, EMR, Glue)
  • Azure (Data Factory, Synapse, Data Lake)
  • Google Cloud Platform (BigQuery, Dataflow)
  • Multi-cloud architecture design
  • Cloud migration strategies

Enterprise Data Architecture

  • Data lake and data warehouse design
  • Data mesh architecture implementation
  • Master data management (MDM)
  • Data governance frameworks
  • Data quality and lineage tracking

Real-Time Processing

  • Apache Kafka and streaming pipelines
  • Event-driven architecture
  • Real-time analytics and dashboards
  • Change data capture (CDC)
  • Stream processing frameworks

API Strategy

  • RESTful API design and development
  • GraphQL implementation
  • API gateway and management
  • Microservices architecture
  • API security and authentication

Modern Data Stack Expertise

Databricks

  • Unified analytics platform setup
  • Delta Lake implementation
  • Collaborative notebook environments
  • MLflow integration

Snowflake

  • Cloud data warehouse architecture
  • Data sharing and marketplace
  • Performance optimization
  • Security and compliance setup

Technology Stack

Data Platforms

  • Databricks
  • Snowflake
  • Apache Spark
  • Hadoop Ecosystem
  • Elasticsearch

Streaming & ETL

  • Apache Kafka
  • Apache Airflow
  • dbt (data build tool)
  • Fivetran, Stitch
  • AWS Glue, Azure Data Factory

Languages & Tools

  • Python, Scala, SQL
  • Docker & Kubernetes
  • Terraform, CloudFormation
  • Git, CI/CD pipelines

Visualization

  • Tableau, Power BI
  • Looker, Grafana
  • Custom dashboard development

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