Ivan P.
Data Engineer
One of his most significant achievements was designing and implementing a fully serverless data pipeline for web analytics and customer tracking—a project he credits as pivotal in shaping his career as a Data Engineer. Through this engagement, Ivan gained extensive experience in Python, AWS data services, data streaming, data lakes, and infrastructure provisioning using template-based code.
Ivan is recognized for his adaptability, commitment to continuous learning, and ability to deliver scalable, efficient, and high-performing data solutions that drive real business impact.
Main expertise
Snowflake3 years
Apache Airflow5 years
Python5 years
Java5 yearsExperience6
Senior Data Engineer
- Contributed to the data engineering team at JW Player, developing data pipelines and embedded analytics for the Payments and Subscriptions domain.
- Implemented CDC pipelines with AWS DMS, integrating data from PostgreSQL, MariaDB, Kinesis, and Kafka into S3.
- Processed and orchestrated data in Snowflake using Airflow and Snowflake Tasks, and managed schema evolution with Sqitch.
- Enabled data visualization through ThoughtSpot and Looker, improving data accessibility and insight delivery.
- Monitored system performance with DataDog and streamlined infrastructure management using GitLab, GitHub, CloudFormation, and Docker.
PostgreSQL
AWS
Apache Kafka
SQL
AWS Kinesis
Senior Data Engineer
- Contributed to the data engineering team at Slice, a rapidly growing B2B2C platform supporting over 20,000 U.S. pizzerias.
- Designed and maintained live data pipelines, integrating CDC data for users and orders into Databricks Delta Lake, DynamoDB (via OData), and S3.
- Utilized the Confluent Kafka platform with Schema Registry for stream schema evolution (AVRO).
- Applied KsqlDB and Kafka Streams (Scala) for real-time stream processing.
- Implemented Kafka Connect for system integrations and change data capture.
- Leveraged Databricks Notebooks for Spark batch processing in SQL, Scala, and Python.
- Orchestrated Databricks jobs with Airflow for workflow automation.
- Employed GitLab CI/CD, Docker, and Terraform for deployment and infrastructure management.
AWS
Databricks
Apache SparkJavaPythonData Engineer
- Served as lead architect and developer in the Web Analytics and Tracking team at Global Saving Group, a platform connecting online shoppers with retailers and serving 100+ digital clients worldwide.
- Designed, developed, and maintained internal products for customer tracking, web analytics, and cross-domain conversion and transaction tracking.
- Built fully serverless IaC implementations on AWS, enabling scalable and cost-efficient infrastructure.
- Developed and orchestrated data pipelines for event-based and batch data ingestion using a data lake approach.
- Processed large volumes of raw, unstructured data, performing transformations, aggregations, and data warehousing.
- Delivered real-time analytics on active users, sessions, and channels to support business insights.
MySQLAWSJavaPythonSQL
Mulesoft Developer
- Led Java development on multiple data integration projects using the Anypoint Mulesoft ESB platform, and developed certified custom connectors published on the Mulesoft Marketplace, supporting enterprise systems such as Salesforce, Anaplan, Coupa, and CallidusCloud.
- Defined and gathered business requirements directly with client product owners, architects, and managers.
- Prepared architecture design documentation and solution proposals to guide project implementation.
- Implemented end-to-end integration solutions ensuring scalability and maintainability.
- Developed and executed functional and integration tests to validate system performance and reliability.
Java
MuleSoft
Java BI Developer
-
Developed a BI platform involving data integration, ETL, and warehousing for a top 10 mobile game publisher with over 1 billion downloads and 45 million monthly active users;
-
Developed the automated BI system;
-
Collected daily reports from more than 15 ad provider sources;
-
Transformed, enriched, and loaded data into the data warehouse;
-
Ensured data consistency and integrity;
-
Injected missing data and corrected invalid data;
-
Developed and maintained data pipelines;
-
Built an orchestration system for workflow management.
PostgreSQLAWSJava
Spring BootSQL
Java Back-End Developer
-
Developed a BI platform involving data integration, ETL, and warehousing for a top 10 mobile game publisher with over 1 billion downloads and 45 million monthly active users;
-
Developed the automated BI system;
-
Collected daily reports from more than 15 ad provider sources;
-
Transformed, enriched, and loaded data into the data warehouse;
-
Ensured data consistency and integrity;
-
Injected missing data and corrected invalid data;
-
Developed and edited data pipelines;
-
Built an orchestration system for workflow management.
NGINX
CassandraJava
TomcatEngineering excellence
All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Ivan stands.
Score 234 · Top 2% of engineers
Certificates 1
Issued Jan 2022 - Expires Jan 2025
Issued Jan 2022 - Expires Jan 2025
Education
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