Data Engineering Services

At Appify Consulting, our Data Engineering services are designed to help organizations build reliable, high-performance data infrastructure that supports operational efficiency, real-time access, and enterprise-wide data integration. We specialize in architecting data pipelines, managing data quality, and delivering platforms that serve as the foundation for modern data-driven ecosystems.

We design robust ETL/ELT pipelines that efficiently move, transform, and load data across diverse systems and environments.

• Batch & real-time data ingestion
• Stream processing (Kafka, Spark, Flink)
• ETL/ELT orchestration using Airflow, Azure Data Factory, AWS Glue

Unify data from fragmented sources across your enterprise with seamless integration strategies.

• APIs, flat files, legacy systems, and SaaS integrations
• Data synchronization and federated access
• On-premise, cloud, and hybrid integration support

We enforce high data standards through automated validation, monitoring, and governance frameworks.

• Schema validation and anomaly detection
• Master data management (MDM)
• Lineage tracking, audit logs, and metadata management

We build and optimize cloud-native and on-premise data infrastructure to support secure, scalable operations.

• Lakehouse & warehouse-ready architecture
• Data storage optimization (Parquet, Delta Lake, etc.)
• Cloud platforms: AWS, Azure, Google Cloud

Migrate from legacy data systems to modern cloud or hybrid environments with minimal risk.

• Source-to-target mapping and transformation
• Data profiling and cleansing
• Platform modernization and decommissioning support

• Technology-agnostic and cloud-ready approach
• Expertise in Open source and Enterprise tools
• Reusable accelerators to speed up development
• Proven delivery in finance, retail, logistics, and healthcare
• Strong focus on security, compliance, and scalability