Siddhartha K.

About Siddhartha K.

An AWS-certified Data Engineer with 5+ 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, AWS AI Practitioner, AWS Cloud Practitioner, and HashiCorp Terraform Associate, Siddhartha continues to deepen his expertise at the intersection of data engineering, cloud, and GenAI to deliver resilient, scalable, and business-focused data solutions.

Experience

1. Aws Data Engineer - Consultant

   Deloitte

   Jul 2025 — Present · Hyderabad, IN

   Building and stabilizing enterprise-scale data pipelines for a top global asset management client, contributing to high utilization and consistent, high-quality delivery on a strategic Client program.​Re-engineering AWS Lambda and S3–based workflows to restore archival data reliably from Deep Archive and resolve timeout failures, achieving 100% data availability for downstream analytics and reporting.​Designing secure ETL pipelines in the marketing and customer experience domains using Python, SQL, and AWS (Glue, S3, Redshift, Lambda, DynamoDB), including robust encryption/decryption logic and data quality checks to power ROI dashboards and financial insights.​Advancing DataOps and team effectiveness by modernizing CI/CD practices, integrating GenAI assistants for engineering productivity, and mentoring teammates through deep-dive sessions on Medallia encryption, AWS restoration workflows, and serverless data patterns.

Education

• GITAM Deemed University

  Bachelor of Technology - BTech, Electronics and Communications Engineering

  2016 — 2020