Senior Data Engineer & DataOps Leader

YASHASRI KANCHUKATLA

+1-913-***-**** *********************@*****.*** hƩps://github.com/Yashasri-02

SUMMARY

Lead Data Engineer & DataOps Specialist with 6+ years of experience architecƟng enterprise-scale ETL/ELT pipelines, leading mulƟple Agile scrum teams, and delivering high-performance data plaƞorms across AWS and Azure. Expert in SQL/PL-SQL performance tuning, Python-based automaƟon, and workflow orchestraƟon using Airflow and modern CI/CD frameworks. Proven success reducing cloud costs by 25%+, improving pipeline performance by 45%, and maintaining 99.95% upƟme for mission-criƟcal systems through containerized deployments and scalable architecture design.

SKILLS

• Data Architecture & Leadership: Enterprise Data SoluƟons, Scrum Leadership, Large-Scale Rollouts, Shared Services Model, Architecture Governance

• ETL & OrchestraƟon: Alteryx, Tableau Prep, Apache Airflow, AWS Step FuncƟons, ETL OpƟmizaƟon, Task Dependency Tuning

• Programming & Querying: Python (Advanced), SQL, PL/SQL, Spark SQL, Performance OpƟmizaƟon

• Cloud & Containers: AWS (Glue, EMR, RedshiŌ, S3), Azure (Databricks, ADF, Synapse), OpenShiŌ, Docker, Kubernetes

• DevOps & CI/CD: Terraform (IaC), Jenkins, GitHub AcƟons, GitLab CI, MulƟ-Environment Deployment AutomaƟon

• Data Governance & Quality: Data ValidaƟon Frameworks, Schema Enforcement, OperaƟonal Monitoring

(CloudWatch, Nagios)

• Databases: Snowflake, RedshiŌ, SQL Server, PostgreSQL, MongoDB EXPERIENCE

CGI — AWS Data Engineer, Sept 2023 – Present

• Led enterprise-scale ETL modernizaƟon iniƟaƟves across mulƟple Agile scrum teams delivering data soluƟons supporƟng 10TB+ daily throughput

• Architected and opƟmized high-performance SQL/PL-SQL transformaƟons reducing data latency by 35%

• Developed Python-based automaƟon frameworks for scalable data processing and integraƟon

• Implemented Airflow orchestraƟon pipelines with dependency tuning, scheduling opƟmizaƟon, and retry logic

• Built and maintained CI/CD pipelines across Dev, QA, and ProducƟon improving deployment efficiency by 30%

• Containerized data workloads using OpenShiŌ-compaƟble Docker deployments to ensure scalability and portability

• Reduced cloud infrastructure costs by 25% through performance tuning, lifecycle management, and workload opƟmizaƟon

• Engineered proacƟve monitoring frameworks achieving 99.95% upƟme and reducing MTTR by 60%

• Mentored engineering teams on best pracƟces for performance opƟmizaƟon, code quality, and scalable architecture

Mercedes Benz — Azure Data Engineer, May 2021 – June 2023

• Architected enterprise Medallion data models using Azure Databricks ensuring governed and high-quality data delivery

• Led migraƟon of legacy analyƟcs plaƞorms to ARM-based immutable infrastructure reducing deployment failures by 60%

• Implemented Python and SQL-based ETL automaƟon pipelines aligned with enterprise governance standards

• OpƟmized cloud infrastructure and autoscaling strategies reducing Azure costs by 30% while maintaining 99.9% availability

• Streamlined containerized deployments via AKS ensuring zero-downƟme workload transiƟons

• Hardened security and RBAC policies ensuring 100% compliance with corporate governance standards

• Collaborated within shared services teams to deliver cross-funcƟonal enterprise analyƟcs iniƟaƟves

• Supported AI-ready data pipelines enabling real-Ɵme inference and LLM-driven integraƟons CreaƟck SoluƟons — GCP Data Engineer, May 2019 – Dec 2019

• Designed and deployed mulƟ-cloud ETL pipelines across AWS and GCP supporƟng real-Ɵme and batch workloads

• OpƟmized Spark batch and streaming pipelines improving throughput by 50% and reducing compute costs by 15%

• Built automated data quality frameworks ensuring 99.9% consistency across ingesƟon stages

• Containerized Spark and Python jobs using Docker and Kubernetes integraƟng CI/CD automaƟon

• Reduced data latency by 45% through workflow tuning and orchestraƟon opƟmizaƟon

• Led Proof-of-Concept iniƟaƟves adopƟng serverless architectures reducing operaƟonal overhead by 25%

• Documented architectural standards and integraƟon workflows to support enterprise governance EDUCATION

Master of Science in Computer Science — University of Central Missouri May 2025

CERTIFICATIONS

• MicrosoŌ CerƟfied: Azure Data Engineer Associate

• Azure Databricks CerƟficaƟon

• AWS CerƟfied SoluƟons Architect

• SnowPro Core CerƟficaƟon — Snowflake

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