$20.00
(per hour)As a Data Engineer, I have acquired comprehensive knowledge of data processing, integration, and analysis.
I am skilled in designing and implementing robust data pipelines, ensuring data quality and reliability throughout the entire process.
With expertise in SQL, Python, and ETL frameworks, I have successfully built data infrastructure to support complex analytics and reporting needs.
In addition, I possess a solid understanding of data governance principles and practices.
I am adept at developing and implementing data governance frameworks, policies, and procedures to ensure compliance, security, and privacy of data assets.
I have collaborated closely with cross-functional teams to establish data governance best practices, data classification schemes, and data stewardship programs. As a freelancer, I am accustomed to working independently, meeting deadlines, and adapting to various project requirements.my strong background in data engineering and extensive experience in data governance, I believe I would be a valuable addition to your team.
• Accountable for end-to-end production support for the ETL tool deployments. • Analyze and resolve customer concerns and problems on the Product Set up or Usage or Upgrades, diagnose the root cause, and document interactions. • Perform backend metadata updates and maintenance using SQL scripts. • Provide on-call and ongoing troubleshooting, technical, and software advice and suggestions. • Support remote and local upgrades, installations, and maintenance. • Responsible for creating a product support plan to provide maintenance. Oversee product deployments, overview the security and integrity of the product to minimize privacy concerns. • In depth Functional knowledge of the product application(s) supported and inter dependencies. Perform research as required to address questions. • Quickly responds to incident alerts and support calls. Identifies, and coordinates with teams that are critical to the event’s resolution. • Acknowledge and respond user queries in timely manner and make sure all emails and user request through ticket should resolved withing given SLA. • Direct communication with client’s team and will liaise closely with internal team to reproduce and resolve issues. Use different communication channels, such as e-mail, phone and other support management application. • Manage customer expectations regarding estimated response time for issue resolution. Own customer technical issues from initial report to resolution, root cause analysis, communicating with customers regularly regarding tickets status and implementation status. • Extensively research and document customer technical issues. • Responsible for the periodical maintenance of the application in operation. • Debug data pipelines for any job failure and handle job failure & its dependency to avoid application impact. • Run monitoring reports for usage, performance, and/or availability. • Document solutions for knowledgebase and bring new ideas for innovation and automation excellence into the Support team.
Performing tasks that typically require human intelligence. It encompasses subfields such as machine learning, deep learning, natural language processing, computer vision, robotics, and more. Having completed a masters degree in AI, I have gained a comprehensive understanding of the fundamental theories, algorithms, and applications of AI. I am well-versed in statistical and mathematical concepts relevant to machine learning and data analysis. During my studies, I have explored various machine learning techniques, including supervised learning, unsupervised learning, and reinforcement learning. I have developed expertise in designing and training neural networks, understanding their architectures (such as convolutional neural networks, recurrent neural networks, and transformers), and optimizing their performance. Additionally, I have delved into natural language processing, enabling me to comprehend and generate human-like text, understand sentiments, perform language translation, and extract useful information from textual data. Computer vision would also be a significant area of focus, allowing me to comprehend and analyze visual data, including image and video recognition, object detection, and image generation. Furthermore, I have explored AI ethics, considering the societal implications and responsible deployment of AI technologies. I am familiar with ethical considerations, biases in AI algorithms, privacy concerns, and fairness in machine learning models. Having completed my masters in AI, I have the knowledge and skills to develop intelligent systems, apply AI techniques to various domains, conduct research, and contribute to advancements in the field. I could assist in building AI models, solving complex problems, and providing insights on AI-related topics.
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