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ETL Consulting

ETL Consulting: Extract. Transform. Load. Deliver.

Clean, timely data is non-negotiable. Datafyze’s ETL Consulting service crafts end-to-end pipelines—automating extraction from source systems, applying rigorous transformation and cleansing, and loading into your target data platform for immediate analytics and decision-making.

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Key Capabilities

Cloud-Native Architecture

Data Pipeline Architecture

Design scalable ETL workflows using cloud-native services and orchestration tools.

API Enablement

Transformations & Enrichments

Apply complex transformations, aggregations, and data enrichments to prepare datasets for analytics.

Low-Risk Transition Paths

Real-Time Data Integration

Set up streaming and batch pipelines for up-to-the-minute data availability across systems.

Containerization

Data Cleansing & Validation

Implement rules and checks to standardize formats, remove duplicates, and ensure data quality.

Code & Database Optimization

Cloud ETL Frameworks

Leverage platforms like AWS Glue, Azure Data Factory, and Google Cloud Dataflow for managed, serverless operations.

Proven Outcomes

90% user adoption rate within two months via targeted training and support

90% reduction in data errors through automated validation.

50% faster time-to-insight with real-time pipeline delivery.

1_•-50% improvement in process compliance through enforced workflows

Scalable pipelines handling billions of records without performance degradation.

FAQs

What platforms do you use for ETL pipelines?
We specialize in AWS Glue, Azure Data Factory, Google Cloud Dataflow, and open-source frameworks like Apache Airflow—choosing the best fit for your environment and scale requirements.
We implement automated data profiling, cleansing rules, validation checks, and anomaly detection within the pipeline—ensuring only accurate, consistent data lands in your analytics platform.
Yes. We build streaming pipelines using tools like Kafka, AWS Kinesis, and Google Pub/Sub—coupled with serverless compute—to deliver real-time data integration with minimal latency.

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Email:

[email protected]

Phone:

+123 456 7890

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