Amol Srivastav
Senior Data Engineer | Azure Databricks | PySpark | Data Platform Modernization | Helping Enterprises Scale with Cloud & Analytics
- Role
- Senior Consultant at Capgemini
- Location
- Kolkata, WB, IN
- LinkedIn followers
- 500 followers
About Amol Srivastav
I’m a Senior Data Engineer with 14+ years of experience building enterprise-scale cloud data platforms across financial services, manufacturing, pharma, and telecom.At Capgemini and Accenture, I’ve:• Led migrations of 20+ legacy Hadoop pipelines to Azure, cutting costs by 35% and improving scalability.• Engineered real-time streaming pipelines reducing data latency from 2 hours to 5 minutes.• Re-architected large-scale data solutions that processed 20 TB+, achieving 70% faster runtimes.• Mentored 12+ engineers, driving 30% higher code quality and accelerating onboarding.My expertise spans Azure (Databricks, Data Factory, ADLS), AWS (S3, EC2), PySpark, SQL, Terraform, Pytest and DevOps pipelines. Currently, I’m passionate about real-time analytics, cloud-native architectures, and enabling AI/ML at scale.
Experience
Senior Consultant
Mar 2025 — Present · Utrecht, NL
Designed and delivered an Azure-based financial data platform for regulatory compliance.• Built scalable batch & streaming pipelines with Databricks and ADF.• Migrated data from Hive to Unity Catalog, improving governance and integration.• Enhanced CI/CD pipelines, cutting release time from 1 hour to 10 minutes. • Introduced Pytest framework for testing, boosting reliability and maintainability.
Education
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering (B.E.), Electrical and Electronics Engineering
2007 — 2011
Holy mission high school
10th, Physics
2002 — 2003
Skills
- Shell Scripting
- Team Management
- Sql Pl
- Amdocs Clarify
- Change Management
- Extract, Transform, Load (Etl)
- Sql
- Oracle Data Integrator (Odi)
- Hpsm
- C++
- Oracle Olap
- Unix
- Obiee
- Informatica Administration
- Dac
- Informatica
- Siebel
- Unix Shell Scripting
- Pl/Sql
- Oracle
- Requirements Analysis
- Incident Management
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