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<p><span style="font-weight: 400;">A <strong>modern data stack</strong> is a cloud-native, modular set of tools designed to ingest, store, transform, and analyze data efficiently. It typically includes components like </span><strong>data warehouses (Snowflake, BigQuery)</strong><span style="font-weight: 400;">, </span><strong>ETL tools (Fivetran, Airbyte)</strong><span style="font-weight: 400;">, </span><strong>transformation frameworks (dbt)</strong><span style="font-weight: 400;">, </span><strong>orchestration (Airflow)</strong><span style="font-weight: 400;">, and </span><strong>BI tools (Looker, Power BI)</strong><span style="font-weight: 400;">.</span></p> <p><span style="font-weight: 400;">Data engineering consultants help businesses adopt a modern data stack to improve performance, reduce time-to-insight, and support AI/ML workloads. This approach replaces legacy systems with agile, scalable data engineering solutions that align with today’s fast-paced data environments.</span></p>
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