Data Engineer Governance

NagIzaaz Shaik

Dayton, OH ***** 937-***-**** ************@*****.***

PROFESSIONAL SUMMARY

AWS Certified Data Engineer with 4+ years building scalable ETL/ELT pipelines, cloud data warehouses, and ML solutions. Expert in Python, SQL, Apache Airflow, and AWS ecosystem (Glue, Redshift, RDS, S3, Lambda) processing multi-GB datasets daily. Proven track record reducing downtime 45%, automating 80% workflows, delivering predictive models with 25% improved accuracy. Strong background in data governance, real-time processing, cross-functional collaboration with 13+ teams aligning data architecture with business objectives. TECHNICAL SKILLS

Programming: Python, SQL (PostgreSQL, SQL Server), Bash/Shell, Git Cloud: AWS (Glue, Redshift, RDS, S3, Lambda, CloudWatch) Data Engineering: ETL/ELT Pipelines, Data Warehousing, Data Modeling, Apache Airflow, Big Data

Machine Learning: Scikit-learn, Predictive Modeling, Feature Engineering, A/B Testing

BI Tools: Tableau, Power BI, Dashboard Development, Data Visualization, KPI Reporting

DevOps: Docker, Kubernetes, CI/CD Pipelines, Disaster Recovery, Database Migration

Technologies: Spark, Hadoop, dbt, Snowflake, Real-time Processing Security: AES-256 Encryption, Role-Based Access, Data Governance, Audit Logging CERTIFICATIONS

• AWS Cloud Practitioner

• Google Cloud Professional Data Engineer

• Google Data Analytics Professional Certificate

PROFESSIONAL EXPERIENCE

Data Engineer

Plus Technologies Dayton, OH June 2024 - Present

• Reduced system downtime 45% developing disaster recovery plans and automated failover mechanisms

• Automated 80% ETL workflows using Python, shell scripting, Apache Airflow, saving 20+ hours/week

• Designed database architectures with SQL Server/PostgreSQL, improving query performance 35%

• Migrated 8+ legacy databases to AWS (RDS, Redshift) with zero data loss,

• Built scalable ETL/ELT pipelines using Airflow/AWS Glue, ensuring 99.9% reliability for multi-GB processing

• Enhanced security 100% implementing AES-256 encryption, audit logging, role-based access

• Achieved zero compliance violations through quarterly governance audits and QA protocols

• Created 50+ pages documentation reducing onboarding time 30%

• Led 13+ member teams delivering 3+ end-to-end database projects aligned with business goals

• Presented to C-level executives using Tableau/Power BI, increasing understanding 40%

Data Engineer

Cognizant India August 2020 - July 2023

• Improved forecasting accuracy 25% building predictive models using Python, scikit-learn

• Increased efficiency 30% conducting A/B testing and statistical analysis on KPIs

• Engineered ETL/ELT pipelines via AWS Glue, Redshift, S3, processing 15+ GB daily, 99.9% uptime

• Designed 25+ interactive dashboards in Tableau/Power BI for executive decision-making

• Collaborated with cross-functional teams architecting scalable, cloud- native data solutions

• Implemented data quality frameworks using Python/SQL ensuring accuracy and compliance

• Executed feature engineering on structured/unstructured datasets, enhancing ML precision 20%

• Maintained continuous learning in Docker, Kubernetes, Spark, dbt through conferences

• Defined project scopes and KPIs coordinating teams for on-time delivery

• Applied statistical modeling driving data science initiatives with measurable ROI

EDUCATION

Master's Degree - Computer Science

University of Dayton Dayton, OH May 2025

Bachelor of Technology - Computer Science Engineering CMR Engineering College Hyderabad, India May 2021

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