Data Engineer

VISHNUVARDHAN

USA +1-813-***-**** ***********************@*****.*** LinkedIn

SUMMARY

Results-oriented Data Engineer and Analyst with 4 years of experience designing scalable data pipelines, optimizing cloud infrastructure, and delivering actionable insights through advanced analytics across AWS, Azure, and GCP. Advanced expertise in data orchestration

(Airflow, Prefect), bigdatatechnologies(Spark,Hadoop), andvisualizationtools(Tableau, PowerBI). Proficient inPython,SQL, andstatistical modeling to drive data-driven decision-making, achieving up to 75%process efficiency gains and $120K in cost savings. SKILLS

Cloud Platforms: AWS (S3, Redshift, EMR, Glue, Athena, SageMaker, Lambda, Kinesis, DynamoDB, RDS, Aurora), Azure (Data Factory, Databricks, Synapse Analytics, Blob Storage), GCP (BigQuery, Dataflow, Dataproc, Cloud Storage)

Data Pipeline & Orchestration: Apache Airflow, Prefect, Apache NiFi, Kafka, AWS Glue, Azure Data Factory

Big Data Technologies: Apache Spark, Hadoop, Hive, PySpark, Databricks, Cloudera

Infrastructure as Code: Terraform, AWS CloudFormation, AWS CDK, Pulumi

AI/ML Tools: SageMaker, Azure ML, TensorFlow, PyTorch, Scikit-learn, MLflow

CI/CD & DevOps: Jenkins, GitHub Actions, AWS CodePipeline, CodeBuild, CodeDeploy, GitLab CI, Docker, Kubernetes, Helm

Monitoring & Observability: Amazon CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog

Databases&DataWarehousing:Snowflake,MySQL, PostgreSQL, AmazonRDS,DynamoDB, Aurora,MongoDB, Redis (Caching),Oracle

Programming: Python, SQL, Scala, Bash, Java, R

Developer Tools: Git, GitHub, GitLab, Bitbucket, AWS CLI, AWS SDK, VS Code, Jupyter Notebook

Frameworks: Django, Flask, REST APIs

Methodologies: Agile, Scrum, DataOps, MLOps, Cloud Security, Data Governance, Cost Optimization

Soft Skills: Problem-Solving, Cross-Functional Collaboration, Analytical Thinking, Technical Communication PROFESSIONAL EXPERIENCE

Data Engineer (AI/ML) Wells Fargo, USA August 2024 – Present

Architected multi-region data pipelines on AWS and Azure, integrating S3 and Redshift to process 1M+ transactions, achieving 99.99% uptime and 30% latency reduction for fraud analytics.

Automated ETL workflows using Airflow and AWS Glue with dynamic DAGs, accelerating data ingestion by 50% and enabling real- time insights for 10+ business units.

Designed secure data lakes with IAM and Azure AD, ensuring GDPR/CCPA compliance, reducing access setup time by 40% using Terraform automation scripts.

Developed Tableau dashboards visualizing 15+ KPIs, improving stakeholder decision-making speed by 25% through actionable insights on fraud detection trends.

Partnered with stakeholders to capture business and technical requirements, documenting functional requirements, user stories, and release plans in Jira and Confluence, enhancing alignment by 20%. Data Engineer Maxgen Technologies Pvt. Ltd., India August 2020 – May 2023

Deployed Kubernetes-based data platforms on Azure using Terraform, optimizing 100+ workloads, cutting deployment time by 65% with seamless auto-scaling for analytics.

Partnered with stakeholders to capture business and technical requirements, documenting functional requirements, user stories, and release plans in Jira and Confluence, boosting delivery by 30%.

Automated ETL pipelines with Airflow and PySpark, processing 2TB+ datasets with advanced partitioning, reducing manual interventions by 75% and scaling processing by 60%.

Built Power BI dashboards to analyze healthcare KPIs, reducing reporting time by 40% and providing actionable insights for 5+ client projects.

Implemented Prometheus and Grafana monitoring with custom dashboards, halving incident response time and improving pipeline reliability for 50+ daily workflows.

Conducted regression analysis with R to forecast patient outcomes, improving predictive accuracy by 20% and supporting data- driven healthcare decisions.

PROJECTS

AI-Driven E-Commerce Analytics Platform Saint Leo University Jan 2024 – Present

Built fault-tolerant AWS data platform with Redshift, S3, SageMaker for 50K+ users with 99.99% uptime.- Automated ETL with Airflow + Terraform, reducing refresh time by 45%.

Implemented NLP-based customer sentiment tracking, providing insights for marketing campaigns.

Designed interactive Power BI dashboards integrating sales, customer sentiment, and churn metrics, enabling stakeholders to identify revenue trends and improve marketing ROI by 20%. Serverless Real-Time Data Pipeline Personal Project, AWS Jun 2023 – Aug 2023

Designed serverless pipeline with Lambda, Kinesis, and S3 to process 1M+ daily records.

Applied tokenization and sentiment tagging for streaming customer data.- Configured monitoring with CloudWatch and ELK Stack, achieving full data traceability.

EDUCATION

Master of Science in Computer and Information Science Saint Leo University, Tampa, FL May 2025 GPA: 3.6/4.0

B.E. in ECE K S School of Engineering and Management, Bangalore, India Aug 2021 CGPA: 6.85/10.0 CERTIFICATIONS

AWS Certified Solutions Architect – Associate

Microsoft Certified: Azure Administrator Associate

PL-300: Microsoft Power BI Data Analyst

Contact this candidate