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Ivan Miller is listed as Data Engineering @ Apple at Apple, based in Seattle, Washington, United States. AeroLeads shows a work email signal at facebook.com, phone signal with area code 801, and a matched LinkedIn profile for Ivan Miller.
Ivan Miller previously worked as Senior Data Engineer at Apple and Data Engineering at Meta. Ivan Miller holds Bachelor Of Applied Science (Basc) from University Of Utah.
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AeroLeads found 1 current-domain work email signal for Ivan Miller. Compare company email patterns before reaching out.
By day, I'm a software engineer specializing in distributed and concurrent systems, data pipelines, data analysis, and systems design. I have a huge passion for computer science, software engineering, and leadership.Check me out on Youtube!https://www.youtube.com/channel/UCDuiKr1cPOVMdbQcn1GUJ1QTechnologies and languages I am most experienced with include:- AWS- Python- Spark- Scala- Kafka- AWS Ecosystem- Django- Akka- PostgreSQL- Redis
Listed skills include Python, Data Warehousing, Java, Data Modeling, and 24 others.
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Cupertino, California, Us
I lead Data Engineering efforts related to Siri NL Model evaluation. This means building data engineering tools, pipelines, and analytics to understand how to deliver a smarter and more capable Siri across our product lineup.
Menlo Park, Ca, Us
Initially lead data engineering efforts for NFX (News Feed Expressions). Partnered with News Feed Content retrieval and ranking teams to develop analytic roadmaps and projects. More recently, i've been working on MRS at Meta--a newly founded org focused on building state of the art recommendation systems and ML solutions to power our family of apps.OSS Technologies I use include:HacklangPythonSparkPrestoMercurial
Park City, Ut, Us
Joining POWDR to lead their data engineering efforts. Currently working on containerizing Apache Airflow and building infrastructure solutions using AWS infrastructure-as-code tooling.Some of the current technologies used on my team are:- Python- Airflow- Snowflake- AWS Cloudformation
Draper, Ut, Us
I'm helping Pluralsight adopt a data-first engineering mindset and architecture. The data platform team is building an event-driven, streaming oriented platform to enable machine learning and data analysis, and ultimately improve the Pluralsight user experience.Some of the technologies/ideologies I work with daily are:- Scala- Akka Streams- Kafka- CI/CD- Python- Docker
Salt Lake City, Utah, Us
Contribute to development of backend services for Spark and Scala based ETL tool. This tool leverages the distributed nature of Spark to quickly and efficiently process large amounts of client data and deliver our application with robust model for advanced healthcare analytics.Currently leveraged technologies:- Spark 2.0+- Scala- Python- AWS Ecosystem- Play Framework- Quill
Develop data integration solutions working with technology ranging from OLTP systems, web services, and distributed systems to OLAP systems and cloud-based analytics. Architect AWS data warehouse to support internal analytic needs. Develop services for Experticity custom analytics-based web applications.Languages/Skills/Technologies I work with:- SQL (all dialects)- Java- Python- Bash- Linux- AWS (Redshift/S3/Aurora/RDS/Kinesis)- Hadoop- MapReduce/HDFS- Hive- Pentaho BI- Tableau- ETL/Data Integration- Web and API Services
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Ivan Miller works for Apple.
Ivan Miller is listed as Data Engineering @ Apple at Apple.
AeroLeads has found 1 work email signal at @facebook.com for Ivan Miller at Apple.
AeroLeads has found 1 phone signal(s) with area code 801 for Ivan Miller at Apple.
Ivan Miller is based in Seattle, Washington, United States while working with Apple.
Ivan Miller has worked for Apple, Meta, Powdr, Pluralsight, and Artemis Health Inc..
You can use AeroLeads to view verified contact signals for Ivan Miller at Apple, including work email, phone, and LinkedIn data when available.
Ivan Miller holds Bachelor Of Applied Science (Basc) from University Of Utah.
Ivan Miller is listed with skills including Python, Data Warehousing, Java, Data Modeling, Sql, Analytics, Mapreduce, and Etl.
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