V O R T U N I X

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Data Engineering

Process Flow

Data Engineering Services

Structured. Scalable. Ready to scale.

Data Ingestion

Collecting data from various sources (APIs, DBs, files, etc.)

ETL/ELT Development

Extract, Transform, Load/Load, Transform operations

Data Pipeline Automation

Scheduling, monitoring workflows (Airflow, Luigi, etc.)

Real-time Data Processing

Stream processing using Kafka, Flink, Spark Streaming

Data Lake Architecture

Building centralized data repositories (e.g., S3 + Glue)

Data Warehousing

Designing & managing DWHs (Snowflake, Redshift, BigQuery)

Data Integration

Combining data from different systems

Batch Processing

Periodic data processing (daily, hourly, etc.)

Data Migration

Moving data between systems or to the cloud

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