Senior Software Engineer at Motivity Labs (2025-05 – Present)
Working with operations teams supporting analytics for Google 3PDC (Third-Party Data Centers). Responsible for building analytics datasets, data models, and dashboards to monitor infrastructure performance and machine telemetry data.
- Built infrastructure analytics dashboards analyzing billions of machine telemetry records from third-party data centers.
- Designed scalable data models and transformations using BigQuery for processing large-scale operational datasets.
- Developed interactive Looker dashboards enabling stakeholders to monitor machine utilization, infrastructure performance, and operational metrics.
- Built analytics workflows that convert large-scale infrastructure data into actionable insights for operations teams.
- Collaborated with cross-functional teams to translate operational requirements into scalable analytics solutions.
Senior Data Engineer at Infocenter (2023-04 – 2025-04)
Led development of scalable enterprise data platforms and analytics pipelines supporting BI reporting and advanced analytics. Client: Glew.io
- Designed distributed ETL pipelines using AWS Glue and PySpark processing hundreds of millions of records across transactional and marketing datasets.
- Architected scalable AWS S3 data lake solutions storing GB-scale datasets optimized for analytics workloads.
- Developed Amazon Redshift data warehouse architectures supporting enterprise BI and analytics systems.
- Implemented scalable data models using star and snowflake schemas for high-performance analytical queries.
- Built automated data ingestion and transformation pipelines integrating multiple business data sources.
- Optimized SQL queries and data partitioning strategies improving analytics performance and reducing processing time.
- Developed Looker semantic models using LookML to enable self-service analytics for business teams.
- Built executive dashboards and KPI reporting systems using Looker for business performance monitoring.
Data Engineer at Infocenter (2020-04 – 2023-03)
Built large-scale ETL pipelines and analytics datasets for e-commerce and marketing analytics platforms. Client: Glew.io
- Developed data pipelines ingesting data from Shopify, Magento, WooCommerce, Google Analytics, Klaviyo, and Meta Ads.
- Designed transformation workflows using Python, SQL, and AWS Glue to unify customer, marketing, and sales datasets.
- Processed millions of daily transactional and behavioral events for analytics and reporting.
- Built scalable data lake architecture on AWS S3 for structured and semi-structured data ingestion.
- Implemented automated workflows for data ingestion, validation, and transformation.
- Improved reporting performance through optimized SQL queries and partitioned datasets.
Data Engineer Intern at Infocenter (2019-12 – 2020-03)
Supported development of ETL pipelines and analytics datasets. Client: Glew.io
- Assisted in building ETL pipelines using Python and SQL.
- Performed data validation, transformation, and quality checks.
- Supported development of datasets used in BI dashboards and reporting systems.
