Data Engineer Analytics

KOMAS ARYAL IVENS

DATA ENGINEER DATA ANALYST

Elmont, NY US Citizen *****.*********@*****.*** +1-347-***-****

PROFESSIONAL SUMMARY

Data Engineer with 5+ years of experience designing, building, and optimizing data pipelines, ETL workflows, and cloud-based analytical solutions. Skilled in leveraging Python, SQL, Spark, and modern cloud platforms (AWS, Azure, Snowflake) to transform raw data into actionable insights. Experienced in collaborating with cross-functional teams, ensuring data accuracy, scalability, and performance while supporting business intelligence, reporting, and advanced analytics initiatives.

TECHNICAL SKILLS

Programming & Scripting: Python, SQL, PySpark, Scala, R, Shell Scripting

Data Engineering: ETL/ELT Pipelines, Data Warehousing, Data Modeling, Apache Airflow, DBT, Hadoop, Spark, Kafka, Talend, Informatica

Databases: MySQL, PostgreSQL, Oracle, MS SQL Server, MongoDB, Cassandra, Redis

Cloud & Big Data: AWS (Redshift, Glue, S3, Lambda), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow), Snowflake, Databricks

Analytics & BI: Tableau, Power BI, Looker, Excel (Advanced), Google Data Studio, SAS

Collaboration & Tools: Trello, Jira, Confluence, Slack, Git, Docker, Kubernetes, CI/CD, Agile/Scrum

Soft Skills: Problem-Solving, Critical Thinking, Communication, Teamwork, Adaptability, Attention to Detail, Time Management, Stakeholder Management, Analytical Mindset

PROFESSIONAL EXPERIENCE

Data Engineer Seagate Technology Sep 2023 – Present

Built and optimized data models in Snowflake and Redshift, enabling faster querying and improving data accessibility for 200+ business users.

Automated data validation and quality checks using PySpark and DBT, reducing inconsistencies by 25% and ensuring accuracy in reporting datasets.

Partnered with analytics teams to deliver real-time Power BI dashboards, cutting reporting turnaround time from 2 days to 4 hours and enhancing decision-making speed.

Developed scalable ingestion frameworks for streaming data from Kafka, supporting 5TB+ daily volume and enabling real-time insights for fraud detection and customer analytics.

Implemented data governance and compliance policies across cloud platforms, improving adherence to GDPR and CCPA standards while strengthening data security.

Data Engineer Answer Financial Jul 2021 – Aug 2023

Designed and automated ETL pipelines using Python, SQL, and Apache Airflow, reducing data processing time by 30% and integrating data from multiple internal and external sources into AWS Redshift.

Built and maintained Power BI and Tableau dashboards consumed by 50+ stakeholders, driving data-informed business decisions and increasing campaign ROI by 15%.

Engineered and optimized AWS-based data lake architecture (S3, Glue, Redshift Spectrum), supporting analytics for 10M+ insurance policy records while lowering storage costs through compression and partitioning.

Developed and deployed PySpark jobs on AWS EMR to process large-scale transactional datasets, ensuring high performance and scalability for advanced reporting.

Implemented data validation and quality frameworks using Python and SQL, ensuring accurate, consistent, and reliable data delivery across critical business functions.

Partnered with cross-functional teams (Marketing, Finance, and Product) to deliver real-time analytics pipelines, enabling proactive insights and improving fraud detection capabilities.

Started as a Data Analyst focused on dashboards and SQL, then transitioned into Data Engineering to automate ETL workflows and build optimized AWS data pipelines and models.

Jr Data Engineer Boeing (via CareerUS) Sep 2019 – Dec 2020

•Designed and optimized ETL pipelines using Python and SQL to process structured/unstructured data, reducing pipeline execution time by 25% and improving downstream analytics efficiency.

•Developed and maintained data models and schemas in SQL Server and Oracle, ensuring high availability and integrity across multiple aerospace engineering projects.

•Implemented data quality validation checks that increased accuracy of business-critical reports by 30%, reducing data-related errors in operational dashboards.

•Automated ingestion workflows using Apache Spark and Talend, enabling seamless integration of sensor and aircraft performance data into centralized data lakes.

•Collaborated with cross-functional teams to define data governance policies and ensure compliance with aerospace regulatory standards, improving audit readiness.

EDUCATION

Bachelor of Science in Computer Engineering University at Buffalo, Buffalo, NY GPA: 3.8 Graduated: May 2019

CERTIFICATIONS

•AWS Certified Data Analytics – Specialty

•Google Data Analytics Professional Certificate

•Tableau Desktop Specialist

•AWS Certified Data Engineer - Associate

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