Siddhartha Kancharla

An AWS-certified Data Engineer with close to 6 years of experience, Siddhartha Kancharla designs and operates scalable, secure, and cost-efficient data platforms on the cloud, with a strong focus on AWS-native architectures for analytics and AI. He specializes in building enterprise-grade data pipelines using AWS (Glue, S3, Lambda, Redshift, EMR, Step Functions), Python, and SQL, enabling reliable, high-quality data for reporting, marketing analytics, and ML workloads.​ Siddhartha has hands-on expertise in architecting serverless data workflows, including encryption and decryption of sensitive customer data in AWS Lambda, and restoring archival data from Deep Archive tiers to ensure 100% data availability for downstream analytics. He has engineered production ETL pipelines across domains such as marketing and customer experience, incorporating robust data quality checks and financial reconciliations to support ROI dashboards and business-critical reporting.​ Beyond core delivery, he actively contributes to DataOps and engineering productivity by modernizing CI/CD practices and integrating GenAI assistants securely into client environments to accelerate SQL generation, debugging, and code reviews. He also mentors team members, supports recruitment, and shares knowledge through deep-dive sessions on cloud data architecture, encryption patterns, and serverless design.​ Core competencies include: End-to-end design of cloud-native data pipelines for analytics and ML using AWS, Python, and SQL.​ Secure handling of sensitive data, including encryption/decryption logic and key management in serverless architectures.​ Optimizing data platforms (Redshift, EMR, S3) for performance, reliability, and cost through lifecycle policies and FinOps practices.​ Infrastructure-as-code with Terraform and automated CI/CD for data engineering workloads. Certified in AWS Solutions Architect – Professional, AWS Data Engineer – Associate, AWS Machine Learning – Specialty