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Data Engineering & Analytics

Design, implement, and orchestrate robust serverless data pipelines and real-time analytical interfaces

Harness the Power of Your Enterprise Data

Siloed and poorly orchestrated data systems lead to sluggish insights and operational blindness. We engineer scalable, reliable data infrastructures on AWS using modern frameworks like AWS Glue, Athena, Apache Spark, and Apache Airflow to capture, transform, and deliver analysis-ready datasets.

10TB+

Data Processed

< 5m

Pipeline Latency

99.9%

Pipeline Reliability

Analytics Speedup

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Serverless Data Lakes

Store unstructured and structured data securely at scale in Amazon S3 data lakes with fine-grained access controls and automated partitioning for cost-efficient queries.

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Automated ETL Pipelines

Extract, transform, and load massive data volumes using AWS Glue, Lambda, and Spark. Run lightning-fast, serverless computations without resource restrictions.

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Workflow Orchestration

Schedule, monitor, and configure complex, multi-stage pipelines with Apache Airflow (MWAA). Ensure failover handling and self-healing runs automatically.

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Real-Time Analytics & BI

Expose processed data to Business Intelligence interfaces (Amazon QuickSight, Tableau) and set up real-time stream processing with Amazon Kinesis.

Data Infrastructure Capabilities

Designing optimized raw, raw-conformed, and refined (S3 bronze/silver/gold) architectures
Writing serverless SQL queries using Athena federated queries across multiple databases
Constructing resilient AWS CDK infrastructure scripts for data environments
Implementing strict schema validation, data deduplication, and data profiling
Integrating compliant access models matching HIPAA and SOC2 governance metrics

Build Your Data Pipelines