Big Data Streaming & ETL Optimization for Marketing Agency

Sajad Bonabi

Data Visualizer
Data Engineer
DevOps Engineer
Azure DevOps
Elasticsearch
Kafka

At Adwiso Digital Marketing Agency, I specialized in designing and implementing scalable big data solutions. I built a robust Kafka infrastructure for real-time data streaming and utilized Elasticsearch for efficient data handling and querying. I developed and managed big data workflows on Ubuntu OS, leading to significant improvements in data processing and system performance. I also set up Kibana for monitoring and visualization, creating comprehensive dashboards for real-time tracking of key performance indicators and system metrics.

In my role at Adwiso Digital Marketing Agency, I focused on designing and implementing scalable big data solutions. A major component was building a robust Kafka infrastructure to enable real-time data streaming, ensuring seamless data flow and analytics. I chose Elasticsearch as the database for its efficiency in handling and querying large volumes of data.

My responsibilities included developing and managing big data workflows on the Ubuntu operating system. This approach led to significant improvements in both data processing efficiency and overall system performance. Additionally, I set up Kibana to monitor and visualize data, creating comprehensive dashboards that allowed real-time tracking of key performance indicators and system metrics.

To further enhance system performance, I implemented Elastic APM (Application Performance Monitoring). This tool was crucial for monitoring application performance, detecting issues, and optimizing system performance. With Elastic APM, the team could quickly identify and address issues, gain insights into data trends and patterns, and ensure the optimal performance of our applications and services.

One of the key achievements of this project was successfully connecting our big data infrastructure with Microsoft Azure. This integration ensured high availability and seamless operations, tailored specifically for big data applications. My contributions significantly enhanced the agency's capability to process and analyze massive datasets, driving better decision-making and improving performance outcomes.

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