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Big Data Cost Optimization & Performance Engineering

Maximize Performance, Reduce Cloud Costs & Improve Efficiency Across Big Data Platforms

Global Reach

Strategies adapted for international markets.

Rapid Deployment

Accelerated timelines for quicker ROI.

Risk Mitigation

Comprehensive compliance and security.

Overview

Strategic Innovation

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."

Why Choose This Service?

  • Data-Driven Decision Making
  • End-to-End Implementation
  • Scalable Architecture
Capabilities

How We Transform Business

Compute & Storage Optimization for Cloud Data Platforms Reduce compute waste, control auto-scaling, optimize caching, cluster policies, and workload isolation.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Query Performance Tuning & Acceleration Optimize SQL queries, materialized views, partitioning, clustering, indexing, pruning, join strategies & workload distribution.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Spark / Databricks Performance Engineering Tune jobs, optimize Shuffle, Catalyst, caching, Skew fix, Adaptive Execution, cluster sizing, and job parallelism.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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BigQuery, Snowflake & Synapse Optimization Framework Implement cost controls, warehouse tuning, zero-copy features, efficient storage formats & query acceleration.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Pipeline Efficiency & Workload Optimization Refactor ETL/ELT pipelines for faster, cheaper execution using dbt, Spark, Glue, ADF, Dataflow & Airflow.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Storage Optimization & Lifecycle Management Tier-based storage, retention policies, archiving, compaction, partitioning & efficient file formats (Parquet, Delta, Iceberg).

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Kafka & Streaming Cost Reduction Optimize partitions, retention, compression, brokers, throughput, and cluster sizing for streaming ecosystems.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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FinOps Governance & Budget Monitoring Framework Implement budgets, anomaly detection, cost dashboards, alerts, tagging, and usage monitoring across cloud platforms.

Leveraging best-in-class methodologies to deliver sustainable value and operational excellence.

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Impact

Real World Results

Case Study

Cost Reduction for a Retail Analytics Platform

The retailer faced escalating Snowflake compute costs during peak season. What we delivered:

Solution

  • Warehouse right-sizing
  • Query optimization & workload isolation
  • Materialized views and pruning strategies
  • Usage dashboards & cost governance

Impact

45% cost reduction Faster analytics performance Improved governance and resource control
Case Study

Spark Optimization for a Financial Services Enterprise

The client’s Spark jobs took hours to complete, impacting reporting cycles. What we delivered:

Solution

  • Spark job tuning & adaptive execution
  • Shuffle reduction & caching strategies
  • Cluster optimization for autoscaling
  • Monitoring & debugging framework

Impact

3× faster job execution 30% lower compute cost Improved reliability & stability of pipelines
Case Study

BigQuery Cost Optimization for a Digital Commerce Brand

The brand struggled with high query costs and uncontrolled data growth. What we delivered:

Solution

  • Partitioning & clustering strategy
  • Query rewriting & efficient storage
  • Data lifecycle optimisation for GCS
  • FinOps dashboards & spend alerts

Impact

35% cost savings per month Better query performance Increased visibility into cloud spend

Technology Stack

SkillzRevo delivers cost-optimized and high-performance big data platforms using:

Cloud Platforms: AWS • Azure • GCP
Lakehouse & Warehouse Platforms: Snowflake • Databricks • BigQuery • Redshift • Synapse
Big Data Engines: Apache Spark • Kafka • Flink • Presto • Druid
FinOps & Observability Tools: CloudWatch • Azure Monitor • GCP Monitoring Datadog • Grafana • Prometheus Kubecost • CloudHealth

These platforms ensure continuous optimization, governance, and observability.

Market Intelligence

30–60% of big data compute cost is wasted due to inefficient configuration.

  • Big data workloads can be optimized to improve performance by 2–5×.
  • File format optimization reduces storage cost by 30–50%.
  • FinOps adoption in enterprises grew 300% in the last 3 years.
  • Optimizing Spark alone can reduce cloud bills by 20–40%.
  • Streaming cost optimization improves throughput and reduces infrastructure footprint significantly.

"Effective cost and performance engineering are essential for sustainable data platform scaling."

Meet Our Experts

Mr. Ashish Tiwari
8+ Years
500+ Students

Mr. Ashish Tiwari

Mr. Ashish Tiwari has done his Masters in Al&ML. He is a Data Scientist having experience of over 8+ years. He has trai…

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Usha Nandhini S
9+ Years
300+ Students

Usha Nandhini S

With over 9 years of expertise in computer programming and 2+ years of specialized focus in Data Science, AI, Machine L…

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Mr. Uttam
12+ Years
400+ Students

Mr. Uttam

Uttam Grade is a seasoned Data Scientist and Data Science Trainer with extensive expertise in delivering advanced …

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Dr Lakshmi Sree Kailasam
16+ Years
800+ Students

Dr Lakshmi Sree Kailasam

Dr. Lakshmi has over 16+ years of experience in diverse domains, including ISO, Scrum, Agile and Project Managemen…

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Mrs. Zainab Sidddiqui
16+ Years
800+ Students

Mrs. Zainab Sidddiqui

Zainab Siddiqui is a driven and results-oriented Machine Learning Engineer specializing in computer vision, NLP, an…

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Dr. Santosh Srivastava
12+ Years
200+ Students

Dr. Santosh Srivastava

Dr Santosh Srivastava is a PhD holder and has more than 12 years of experience in Training, Research, and Consultancy a…

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Mr. Arihant Jain
8+ Years
200+ Students

Mr. Arihant Jain

Mr Arihant is an accomplished Senior Data Scientist with over 12+ years of valuable experience in Machine Learning, Dee…

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Mr. Bidhan Sen
8+ Years
200+ Students

Mr. Bidhan Sen

Bidhan Sen is an accomplished data analytics professional with a wealth of experience across tools like Power BI, Table…

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Mr. Rohan Dixit
10+ Years
200+ Students

Mr. Rohan Dixit

Rohan Dixit is an experienced Data Science Consultant with deep expertise in Python, SQL, Power BI, and advanced analyt…

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