Behzad Pirvali
Experienced Software Developer
********@*****.*** Los Angeles, CA
SUMMARY
Innovative experienced software engineer with extensive expertise in big data, high-volume real-time data streaming (using Databricks Spark & Flink), cloud computing, and distributed systems. Passionate about creating high performance scalable real-time solutions, while ensuring compliance and governance adherence. A strong track record of leading high-impact projects for top tech companies. Recognized for technical leadership and SQL optimizations (US patent holder).
EXPERIENCE
Principal Software Engineer
Viant Technology
2024 - Present Los Angeles, CA
Regular meetings with Google's Big-Query team on Big-Query query optimizations and Legacy SQL to Standard SQL migration challenges. Working on Chat With Data project, a OpenAI project to enable users to get insight into their data through a chat interface. Developing several GCP Cloud Functions in Golang for automated regression testing of “Chat With Data” project
Code Reviews and SQL optimizations within VIANT.
Senior Staff Software Engineer
Warner Bros. Discovery
2021 - 2024 Los Angeles, CA
Reporting to the VP of data engineering, I was a key player in the design of HBO MAX data streaming pipelines using Databricks and Snowflake. Design & code reviews, job interviews up to director level. One of the main technical contact between HBO MAX and Databricks. Created a high-volume (70 TB/day) NRT solution using Python, AWS, Kafka, and Databricks/PySpark.
Performed a successful benchmark between Databricks and Snowflake resulting in an additional 32% Snowflake discount. Director of Data Platform
FOX
2020 - 2021 Los Angeles, CA
Mentored the Dev and QA team.
Published architecture guidelines for building scalable and efficient ETL and query solutions.
Migrated a big-data real-time streaming pipeline from AWS KDA-SQL to AWS KDA-Flink using Scala.
Sr. Architect (hands-on)
Ticketmaster
2019 - 2020 Hollywood, CA
Developed a real-time streaming pipeline using FLINK-SQL, KSQLDB, and MemSQL.
Extended the open source code for Confluent’s Kafka JDBC-Connect to meet the needs of Ticketmaster.
Technical lead for the rollout of Databricks inside the Ticketmaster. Principal Software Engineer
NFL
2016 - 2019 Los Angeles, CA
Managed a team of C++ developers, designing a C++ cross platform app for several CTV devices using You.i TV library.
Developed ETL pipelines using Java/Scala, Spark, Apache Storm, Cassandra, Kafka, Apache Camel, and Spring Boot.
Developed a real-time Data visualization dashboard using Bootstrap 3, jQuery, and D3.
STRENGTHS
Innovative
I consistently think outside the box,
delivering innovative solutions to complex
technical challenges. Awarded a U.S. patent
(US 201******** A1) for SQL optimization.
Problem-Solving
Ability to break down complex problems,
think analytically, and come up with efficient
solutions.
Teamwork
Naturally helpful and team-oriented, always
ready to support colleagues, share
knowledge, and foster a positive work
environment
Adaptability & Continuous Learning
Staying up-to-date with emerging
technologies, adapting to new processes to
improve productivity.
SKILLS
RDBMS (15+ Y) Airflow Kubernetes
Erwin Snowflake (6+ Y)
Spark - Databricks (6+ Y) Big-Query
DataStax Cassandra
Kafka - Confluent (9+ Y) Flink
MongoDB GraphQL AWS (7+ Y)
GCP Azure Testing - CI/CD (10+ Y)
Hadoop / HIVE DataDog RabbitMQ
MemSQL Apache SOLR Node.js
React
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EXPERIENCE
Performance Architect
MaxCDN
2015 - 2016 Studio City, CA
Developed a Big-Data RT streaming solution using Java, Golang, VOLTDB, Mongo-DB, and Rabbit-MQ (1 PB of data per month)
Developed a high-performance wild-card purge module for NGINX edge- servers in C.
Principal Data Engineer
Maker Studios
2014 - 2015 Los Angeles, CA
Developed a high-Performance Asynchronous HTTP library for async REST calls using Java NIO2.
Using the above library, developed REST clients to call into YouTube, Facebook, Twitter, Instagram, and Vine to capture information related to YouTube channels, videos, social profiles.
Developed a high-performance flexible web-scraping tool. Staff Software Engineer (Team lead)
Intuit
2011 - 2014 Los Angeles, CA
Created a real-time streaming data pipeline using Apache Storm. Created an Oracle/OLAP data aggregation solution with 300 different aggregates.
Converted the above solution to Hadoop/HIVE
Director of Data/Performance Architect
FOX Audience Network
Los Angeles, CA
Principal Software Engineer
Symantec Corporation
Los Angeles, CA
EDUCATION
M.S. & B.S. in Electrical Engineering & Robotics
Technical University of Graz - Austria
Graz, Austria
LANGUAGES
Python
Proficient
SQL
Proficient
Java
Proficient
C/C++
Proficient
JavaScript
Proficient
Scala
Advanced
Go
Advanced
Dart (Flutter)
Proficient
React-Native
Intermediate
KEY ACHIEVEMENTS
Operational Cost Reduction
By implementing efficient system design,
code & SQL optimizations, I have minimized
hardware requirements, resulting in
substantial operational cost savings for
multiple companies.
At Warner Bros. Discovery, I conducted a
performance benchmark between
Databricks & Snowflake, leading to a 32%
cost reduction for Snowflake to maintain
operational competitiveness.
Creating low latency high volume data
streaming pipelines.
In MaxCDN, I have created a low latency,
high volume RT data aggregation pipeline.
Latency end-to-end was under 3 seconds
for a data volume of 40 TB of data per day.
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