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I will create AWS data lakes and analytics pipelines using glue and s3
Data Engineering Expert and Cloud Solutions Architect
Experienced Azure data engineer with 13+ years building scalable data solutions using Microsoft Fabric, Azure Data Factory (ADF), Azure Data Lake, and Synapse Analytics. I also work across Snowflake, ...
About this Gig
Build massive-scale, cost-effective data lakes on AWS that handle any volume while keeping costs predictable and low.
Drowning in exponentially growing data? Need serverless, auto-scaling solutions that charge only for usage? I'm an AWS Certified Solutions Architect specializing in enterprise data lakes scaling from gigabytes to petabytes.
What You'll Get:
- Amazon S3 data lake with intelligent tiering and lifecycle management
- AWS Glue ETL jobs that auto-scale based on data volume
- Serverless architecture eliminating infrastructure management
- Cost optimization reducing processing costs by 70%+
- Security-first design with encryption and fine-grained access
- Analytics-ready outputs for immediate BI and reporting
My AWS Expertise:
AWS Certified with 13+ years cloud architecture experience, built data lakes processing for healthcare, e-commerce, and financial institutions.
Complete AWS Stack: S3, Glue, Athena, Lambda, Lake Formation, QuickSight
Why Choose AWS:
- Pay-per-use pricing - 60-80% cheaper than traditional solutions
- Infinite scalability without capacity planning
- Enterprise security meeting HIPAA, SOX, PCI-DSS com
- Easy AI/ML integration for innovation
Other Data Engineering Services I Offer
FAQ
How much will AWS data lake cost?
Pay-as-you-go pricing: S3 storage ~$0.023/GB/month, Glue ~$0.44/DPU-hour, Athena ~$5/TB queried. I provide detailed projections with 70%+ savings through compression and partitioning optimization.
Is AWS secure for sensitive business data?
Enterprise-grade security with AES-256 encryption, IAM controls, VPC isolation, and compliance certifications (GDPR, HIPAA, SOC2, ISO 27001). Defense-in-depth architecture included.
How do you ensure optimal performance for large datasets?
Intelligent partitioning, columnar storage (Parquet/ORC), AWS Glue Catalog, query optimization, and caching strategies delivering sub-second performance on TB-scale datasets.
Can you migrate from existing databases and systems?
Yes! Seamless migration from Oracle, SQL Server, legacy systems, other clouds, and on-premises using AWS DMS, DataSync, and Glue connectors with zero-downtime strategies.
What ongoing maintenance do you provide?
Self-managing lakes with CloudWatch monitoring, automated alerts, lifecycle management, performance tuning, security monitoring, and 6-month documentation plus optional monthly health checks.
