Data Analyst in Cloud

Hard Skills

- Cloud Data Platforms: AWS (Redshift, S3, Athena), Google BigQuery, Azure Synapse

- Data Visualization: Tableau, Power BI, Looker

- Data Processing & ETL: Apache Spark, Apache Beam, Airflow

- Databases: SQL Server, PostgreSQL, NoSQL (MongoDB)

- Programming & Scripting: Python, R

- Machine Learning & Statistical Analysis

- Data Governance & Compliance (GDPR, CCPA)

Soft Skills

- Analytical Thinking & Problem Solving

- Cross-Functional Collaboration

- Agile & Scrum Methodologies

- Effective Communication of Complex Data

- Adaptability to Emerging Technologies

- Strategic Data-Driven Decision Making

*Cloud Data Analyst*

**InnovateCloud Solutions** — San Francisco, CA

Jul 2022 – Present

- Designed and managed cloud data pipelines using AWS Glue, Redshift, and Athena, increasing data processing efficiency by 30%.

- Developed interactive dashboards with Tableau and Power BI, enabling executives to track KPIs in real-time and identify operational bottlenecks.

- Implemented scalable data governance frameworks aligning with GDPR and CCPA, reducing compliance risk.

- Led migration of legacy analytics platform to cloud-native architecture, improving query performance and reducing costs by 25%.

- Collaborated with data engineers and cloud architects to optimize ETL workflows for big data workloads.

*Data Analyst – Cloud Operations*

**SkyData Analytics** — New York, NY

May 2019 – Jun 2022

- Analyzed disparate data sources stored across AWS S3 and Google Cloud Storage to identify trends impacting cloud resource utilization.

- Built predictive models to forecast cloud costs, resulting in a 15% reduction in overspending.

- Automated data reporting processes using Apache Airflow, decreasing manual effort by 40%.

- Conducted root cause analysis for cloud outages, presenting findings that improved incident response time.

- Developed training materials to empower teams on cloud analytics best practices.

*Junior Data Analyst*

**TechNova Inc.** — Boston, MA

Jan 2017 – Apr 2019

- Supported the creation of dashboards that visualized sales and customer engagement metrics across cloud-hosted databases.

- Maintained ETL workflows for integrating cloud-based SaaS data with on-premises systems.

- Conducted quality assurance for data pipelines, reducing data inconsistencies by 20%.

- Assisted senior analysts in deploying machine learning models to enhance predictive capabilities.

**Bachelor of Science in Data Science**

University of California, Berkeley

*2012 – 2016*

- AWS Certified Data Analytics – Specialty (2024)

- Google Cloud Professional Data Engineer (2023)

- Certified ScrumMaster (CSM) (2021)

Cloud Data Lake Optimization

Led initiative to construct a serverless data lake using AWS S3, Glue, and Athena. Streamlined data ingestion from heterogeneous sources, boosting analytics speed and reducing storage costs by 20%.

Multi-Cloud Data Migration

Orchestrated migration of enterprise analytics workloads from Azure to Google Cloud, ensuring zero downtime and validating data integrity post-migration. Enabled unified analytics platform adoption reducing licensing costs by 15%.

Real-Time Data Monitoring Dashboard

Developed a real-time analytics dashboard integrating streaming data via Kafka and Spark Streaming. Provided operational teams immediate visibility into cloud resource utilization, reducing incident response times.

- Cloud Platforms: AWS, Google Cloud, Azure

- Data Processing: Spark, Beam, Airflow

- Visualization: Tableau, Power BI, Looker

- Programming: Python, R

- Databases: Redshift, BigQuery, PostgreSQL

- English (Native)

- Spanish (Professional Working Proficiency)