Tomislav Delas

A project charged with developing and deploying DEEP.AI, a B2C personalization tool for up-selling and cross-selling, retention, and debt management software for Boston Consulting Group (BCG), aimed at BCG's clients in the telecommunications and energy sectors.

As a member of an international team and a Toptal member, I participated in the retention stream of DEEP.AI. I was tasked with various data engineering and other tasks: data pipeline, ETL creation, database data modeling, database, and query optimizations, CI/CD deployment, and pipeline orchestration.

I created the solution and also developed the customer data platform for a Squeem company and brand (as a Toptal client), running an eCommerce business.

My Project Tasks:
• Analyzed Cloud ETL tools for data pipelines (Skyvia, Stitch, Hevo, and so on) as well as cloud data warehouse solutions (Google Big Query, Snowflake, Amazon Redshift, etc.) in the selection process.
• Implemented the creation of data pipelines (ETL) with Stitch Cloud ETL from source applications (Shopify, Drip, Oracle NetSuite, Google Ads, Google Analytics, and Facebook Ads) to Cloud Google BigQuery Data Lake and Data Warehouse.
• Transformed data on BigQuery (SQL and ETL procedures).
• Visualized with Tableau on top of BigQuery datasets.
• Handled data enrichment with segment software (events and personas).

I developed a new generation of data warehousing in the telecom business incorporating a big data lake using Cloudera services (HDFS, Hive, Impala, and Spark) for extract-transform-load (ETL) using Spark, utilizing the power of big data infrastructure.

I built a revenue assurance solution for a telco business. I was the main IT solution architect and developer of some parts of a solution, and I developed interfaces between different systems and monitoring processes.

A real-time data-driven project that collects data from a DSL customer equipment (CPE) and ingests to big data (usage of Kafka, Flume, Hive, Spark, and Oozie).

I was a core team developer on this project and was charged with interfaces and solution tuning. The project was used for proactive fault repair in the telco company and integrated into OSS daily processes.

I handled the architecture, solution, development, and operation of a DWH solution for a Telco provider. I was responsible for relational databases (Oracle DBA), ETL processes (Informatica and PL/SQL), data quality, reporting (Microsoft tools and Power BI), etc.

I handled the architecture, solution, development, and operation of a DWH solution for a Telco provider. I was responsible for relational databases (Oracle DBA), ETL processes (IBM DataStage and PL/SQL), data quality, reporting (IBM tools and Power BI), etc.

I developed Nexudus and Zapier integrations with Google BigQuery. I also developed a DWH logical and physical model on top of GBQ, with entities prepared and loaded for reporting and BI dashboards for a media business.

I optimized ETL pipelines built in IBM DataStage and on top of an Oracle database for a large European telco provider. I also reviewed and aligned the DWH solution with the statement of compliance on the Oracle tier, while refactoring PL/SQL code and IBM DataStage jobs for better performance.

I developed an ETL pipeline in the MS T-SQL language, building a data flow from source systems on MS-SQL DB to the target database also on MS-SQL. Within data transformation, I developed a parsing of complex JSON structures and stored them into key and value target structures.