# Nadir Vardar

> Principal Software Engineer at Informatica

Location: San Mateo, California, United States
Profile: https://flows.cv/nadir

Skills: Cloud Backend Software Engineer. Java, Scala, Apache Spark, Hadoop ecosystem, Kubernetes. 
Enthusiastic about Machine Learning and Rust.

Software Engineer with 15 years of professional hands-on experience in backend development, especially in large-scale, data-driven systems. 
While at Informatica, I developed large-scale infrastructure and production-level code on distributed systems using Kubernetes, Apache Spark, and Hadoop to have a direct impact on real-world systems.

## Work Experience
### Principal Software Engineer @ Informatica
Jan 2019 – Present | San Francisco Bay Area
I'm with Integration-At-Scale team on Informatica Cloud. We develop software for Informatica Mapping jobs. Clients create Mappings to read, transform, and store data. We optimize, compile, and generate Java/Scala code to create a data processing pipeline. We set up a Kubernetes cluster with Apache Spark, start and execute spark job on the cluster. (800+ customers use daily)

Designed, gathered, documented requirements, and implemented/developed The Serverless Runtime environment. A serverless runtime environment is an advanced serverless deployment solution that uses an isolated, single-tenant model. ETL as a service. (500+ customers use daily)

Developed a procurement service(AWS and Azure) that creates resources for the Serverless Runmine environment. Worked on a warm-pool service that contains pre-baked Kubernetes cluster nodes.
Developed a Cluster Creation Service for creating Ephemeral Kubernetes clusters for The Serverless Runmine environment.

Worked on a customized Kubernetes autoscaler project.

Developed a forecasting project, and developed a time series machine learning model on Apache Spark to predict the future state of the warm-pool nodes. This was the first Machine Learning model implemented with Spark in the team and saves cloud provider costs for customers on average %17.

Developed an always-running Apache Spark cluster for predicate pushdown queries to run in parallel with ETL processes. A single node local cluster in the microservice node, which accepts Spark SQL queries to run against databases. Improved overall performance of running ETL tasks by 23%.

Improved the code coverage(Java, SonarCube) for entire microservices from 62% to 90%.
Created integration test suits(Docker, postman/Newman) for entire AtScale microservices. (11 total)

Developed Restful microservices to run ETL jobs on Kubernetes Local/AWS/Azure clusters.

Created an internal document that details the workings of Apache Spark Internals.

### Principal Software Engineer - Big Data Analytics @ Asurion
Jan 2016 – Jan 2018 | San Mateo, CA
Asurion, LLC, San Mateo, CA

Asurion, LLC is a privately held company based in Nashville, Tennessee that provides
mobile insurance, device protection, and support services for smartphones, tablets,
consumer electronics, and appliances.
● Data Ingestion;
o Batch, using Apache Spark (EMR, Scala) populating hourly data sets (parquet) on
AWS S3.
o Streaming, AWS Lambda, Apache Spark Steaming. Customers’ data collected
through AWS Kinesis. Spark Streaming runs 7/24 to populate the data on S3
(Parquet), DynamoDB, and Graph(neo4j). AWS Lambda is also used for real-time
processing.
● Data Insights. Apache Spark (EMR), AWS Lambda, DynamoDB, Elasticsearch, Athena.
They are shared via the RestAPI (Elastic Beanstalk) endpoint.
● Managed “Monitoring and Alerting” of all the products deployed on AWS.
● Managed to integrate the Big Data Analytics products from one VPC to another.
● Customer Knowledge Graph (customer interaction data >250M historical and current
customers and represented by 1B+ nodes and 5B+ relationships, neo4j). Customers’
journey data was cleaned, processed (Kinesis, Apache Spark (EMR) Lambda, Redshift,
Athena), and populated into the Graph. The data is used by Data Science teams,
visualization, and the Recommendation Engine.
● Helped the Data Science team to generate smarter reports.
● Generated several dashboards (Tableau, Spotfire).
● Managed our team’s AWS Taskforce initiative to learn more about AWS products and how
they can help to make better products at lower costs.
● Given several Knowledge Sharing sessions on Serverless (AWS Lambda, Step Functions,
AWS Kinesis), new technologies, Monitoring, Spark Streaming, etc.
● Managed DevOps, QA, and cost analysis for the team.

### Sr. Sofware Engineer @ Carrier iQ
Jan 2008 – Jan 2015 | Sunnyvale, CA
Carrier IQ is the leading provider of Mobile Intelligence Solutions to the Wireless Industry. As the only embedded analytics company to support millions of devices simultaneously. Carrier IQ gives Wireless Carriers and handset Manufacturers valuable information about their customers’ mobile experience. Details are at http://www.carrieriq.com

### Sr. Software Engineer @ LBS
Jan 1999 – Jan 2007

### Software Engineer @ Logo Yazılım
Jan 1999 – Jan 2007


## Education
### 73 in 86, Computer Programming
Ege University


## Contact & Social
- LinkedIn: https://linkedin.com/in/nadirvardar

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Source: https://flows.cv/nadir
JSON Resume: https://flows.cv/nadir/resume.json
Last updated: 2026-04-12