Maximize Performance, Reduce Cloud Costs & Improve Efficiency Across Big Data Platforms
Strategies adapted for international markets.
Accelerated timelines for quicker ROI.
Comprehensive compliance and security.
Enterprises often overspend on big data platforms due to inefficient pipelines, unoptimized compute usage, unnecessary data duplication, and poorly governed workloads. As businesses scale, costs for storage, compute, streaming, orchestration, and cloud services increase rapidly—often without visibility or control. SkillzRevo’s Big Data Cost Optimization & Performance Engineering service helps organizations reduce operational costs while improving query speed, pipeline efficiency, scalability, and platform performance. We focus on optimizing workloads across Snowflake, Databricks, BigQuery, Synapse, Redshift, Spark, Kafka, Flink, and cloud-native data ecosystems on AWS, Azure, and GCP. We collaborate with data platform teams, cloud operations, engineering units, finance/FinOps teams, and enterprise leaders to implement a governed, high-performance, and cost-efficient big data environment.
"We don't just advise; we partner with you to implement solutions that drive tangible growth."
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.
The retailer faced escalating Snowflake compute costs during peak season. What we delivered:
The client’s Spark jobs took hours to complete, impacting reporting cycles. What we delivered:
The brand struggled with high query costs and uncontrolled data growth. What we delivered:
SkillzRevo delivers cost-optimized and high-performance big data platforms using:
These platforms ensure continuous optimization, governance, and observability.
30–60% of big data compute cost is wasted due to inefficient configuration.
"Effective cost and performance engineering are essential for sustainable data platform scaling."

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