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Design and implement cloud-native data architectures on GCP, using Python, SQL, and tools like BigQuery and Dataform to build end-to-end data pipelines.
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Design and build scalable data pipelines on GCP using BigQuery and Apache Spark for a data and AI company.
Build dashboards and analyze user behavior using SQL, Python, and tools like Tableau to drive product decisions and marketing performance in a fast-paced team.
Builds and optimizes data pipelines and calculation engines for credit-risk systems in a bank’s internal Data Science team using Python, SQL, and BigQuery.
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Builds and optimizes Google Cloud data pipelines using BigQuery and Python for scalable analytics infrastructure.
Designs and maintains data pipelines for marketing automation, integrating internal systems with ad platforms like Google Ads using Python, SQL, and cloud data warehouses.
Build and maintain digital subscriptions, mobile backends, and internal ERP/CRM systems using Java, Vue, and Google Cloud.
Develop and implement GenAI solutions using the Datapizza AI framework, focusing on RAG, AI agents, and speech-to-speech architectures for enterprise clients.
Designs and maintains scalable ETL pipelines and data platforms on GCP, optimizing data flows between warehouses, lakes, and marts for analytics and ML.
Analyze ad-tech campaign data to forecast performance, optimize live campaigns, and quantify ROI using SQL, Python/R, and visualization tools.
Analyze hospitality and venue data to build dashboards, track KPIs, and generate insights using SQL, BI tools, and Python.
Analyzes creator and performance data using SQL, Python, and dashboard tools to extract insights for media campaigns across platforms like YouTube and TikTok.
Lead the development of AI-powered data querying systems that let users ask business questions in natural language and return actionable insights, while building scalable data quality tools.
Intern role analyzing food-service data: validating dashboards, writing SQL in BigQuery, cleaning data, and spotting trends to help teams make better decisions.
Builds automated tests for data pipelines and APIs in BigQuery/Redshift, partners with product and engineering to validate features, and coaches teams on testing best practices.
Builds and maintains ETL pipelines in Talend and BigQuery to feed cloud cost analytics and Power BI reports for a fintech team in Jakarta.
Build and maintain scalable data pipelines and ETL processes using GCP tools like BigQuery and Dataflow, ensuring data quality and security.
Design and build scalable data pipelines and warehouses using GCP, BigQuery, and Airflow to integrate ERP/CRM data for analytics and reporting.
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