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Data Engineering & Pipelines
Build fast, reliable, and scalable data systems
At Whalyx, we design and implement robust data pipelines and architectures that power real-time analytics, machine learning, and smarter decision-making. Whether you're working with legacy systems or scaling a modern data stack, we help you move from messy data to trusted insights, faster.
What We Do
End-to-End Data Engineering Services
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Data pipeline design (batch & streaming)
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ETL/ELT orchestration (Airflow, dbt, etc.)
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Data lake & warehouse setup (Snowflake, BigQuery, Redshift)
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Scalable architecture on cloud (AWS, GCP, Azure)
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Data ingestion from APIs, CRMs, webhooks, sensors, and more
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Data quality, lineage, and monitoring
Our Stack Expertise
We work with the best tools in the ecosystem:
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Airflow, dbt, Prefect
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Spark, Kafka, Flink
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Fivetran, Stitch, Meltano
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Snowflake, BigQuery, Redshift
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AWS Glue, Lambda, S3
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Terraform, Docker, Kubernetes
Why It Matters
Strong data infrastructure is the foundation for:
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Machine learning readiness
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Reliable dashboards & BI
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Data governance & compliance
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Faster decision cycles
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