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A highly experienced software developer and analyst with over 30 years of expertise in employing diverse software development languages, tools, and platforms to enhance, automate, and optimize processes. Demonstrates a proven ability to work effectively both independently and within team environments, think creatively, solve complex challenges, and deliver high-quality solutions. Proficient in full stack development, encompassing both back-end and front-end technologies, with extensive experience in cloud technologies, database management, and data visualization.
I’m a seasoned software and systems engineer with over 20years of experience building reliable, scalable applications in cloud environments like Azure. My work spans full-stack development, infrastructure automation, and system design, with a strong focus on performance, security, and maintainability. I’ve led teams through digital transformations, implemented CI/CD pipelines, and optimized architectures for distributed systems. I’m passionate about continuous learning and enjoy solving complex problems through thoughtful engineering. Outside of work, I freelance, contribute to open-source projects, and mentor aspiring developers.
Senior Data and AI Engineer with 16+ years of experience across data engineering, analytics, and AI/ML. Proven track record in building cloud-native data platforms, implementing GenAI solutions, LLMs, and enterprise-scale RAG pipelines. Expert in Snowflake, AWS, and BI tools like Looker and Tableau. Adept at MLOps, DBT, and AI DevOps for deploying scalable, secure, and intelligent systems. Strong leadership in AI projects, enabling business transformation through automation, data-driven decision-making, and next-gen GenAI applications.
IT Professional with 10+ years of experience in Data Engineering, Machine Learning, and Software Development, specializing in big data processing, ETL pipelines, and predictive analytics. Strong expertise in SQL optimization (Oracle, ClickHouse, SQL Server), Python, PySpark, and cloud platforms (GCP). Proven track record in credit risk modeling, real-time analytics, and high-performance database design. Skilled in automating workflows, building scalable data architectures, and deploying machine learning models to drive business insights. Combines technical proficiency with strategic problem-solving to deliver efficient, data-driven solutions.
I'm a Lead Data Scientist and Machine Learning Engineer with 10+ years of experience building and deploying AI/ML systems across telecom, healthcare, and finance. I specialize in LLM applications, deep learning, NLP, and end-to-end ML pipelines. At Afiniti, I led the development of a RAG-based ChatGPT platform, agentic video generation workflows, and AI-driven call analytics. My background also includes recommender systems, real-time optimization, and cloud-native deployment. I'm currently pursuing an MS in Computer Science (ML specialization) from Georgia Tech with a 3.9 GPA.
I’m excited to apply for the Data Engineer role at Techamana. With 10+ years of experience in data engineering, I’ve built scalable ETL pipelines, optimized workflows, and worked with large datasets. At Canada Direct, I managed data ingestion, transformation, and visualization using SQL, Power BI, and Python. I’ve also used Azure Synapse, Data Factory, and DevOps tools to build reliable, automated solutions. I’m especially drawn to Techamana’s focus on data-driven innovation. I’d love the opportunity to contribute and grow with your team.
I am an interdisciplinary researcher with over 15 years of experience in biomedical informatics, AI, and health data science. My work spans machine learning, natural language processing, and multi-omics integration for clinical and translational research. I have led international teams, published extensively in peer-reviewed journals, and served as an associate editor in top scientific publications. I specialize in developing scalable, data-driven solutions for complex biomedical challenges.
You might be looking to hire someone to solve a data problem or work on your Python, SQL or C++ project backlog. For over 20 years, I’ve been applying data science and engineering to solve real-life problems faced by both businesses and experimental scientists. Whilst scientific employments were heavy on ML, statistical modelling and data analysis, the employment with the retailer helped me to build contemporary engineering skills. You will hire a professional with a versatile skill set and the experience of working in multidisciplinary teams, who will: • help you find a data-driven solution to your business problem • architect/prototype the solution • implement solution working independently or as part of a team If you wish to discuss your project, let’s arrange a call.
I'm a senior data engineer with a strong track record of designing and optimizing data infrastructure to unlock business value. With deep expertise in Python, SQL, Airflow, and AWS, I’ve led impactful projects—from building ML-powered job classification systems to boosting CRM engagement by 197% and cutting pipeline runtimes by 800%. I thrive in cross-functional environments, bringing analytical rigor, clean engineering practices, and a focus on outcomes. My experience spans startups to established platforms, and I’m passionate about solving complex data challenges that drive real results.
I’m a data scientist and machine learning engineer with 5+ years of experience working on end-to-end ML solutions across industries such as Manufacturing, Energy, Software, among others. My background combines strong statistical analysis, machine learning, and software engineering skills.I’ve built models for predictive analytics, NLP, and computer vision, and have experience deploying them using tools like PyTorch, ONNX, and cloud platforms like GCP & AWS.
At Techamana, we maintain the highest standards in developer selection. Our ETL experts undergo a comprehensive 4-step vetting process that evaluates technical skills, problem-solving abilities, communication skills, and team and culture fit. Only the top 5% of applicants pass our rigorous screening, ensuring you work with exceptional talent who can deliver outstanding results for your projects.
Rigorous coding challenges and problem-solving tests to evaluate ETL proficiency and best practices.
Thorough examination of past projects and contributions to open-source ETL repositories to assess real- world experience.
Video responses for open-ended questions to assess problem-solving ability, communication skills, and team and culture fitment.
When hiring an ETL specialist, prioritize Talend, Informatica, or NiFi experience.
Candidates should design efficient data pipelines, handle cleansing/validation, implement incremental loads, and use Python/SQL scripting for robust workflows.
Industry insights and best practices
ETL (Extract, Transform, Load) processes are used to extract data from various sources, transform it into a usable format, and load it into a target data warehouse or database. Modern ETL tools utilize automation and data quality checks.
ETL processes integrate data from various sources, creating a unified view of data for analysis.
ETL is crucial for loading data into data warehouses, preparing data for analysis and reporting.
ETL processes clean and transform data, ensuring data quality and accuracy.
ETL is used to migrate data from legacy systems to modern data platforms.
Majority of our clients choose to continue working with our talent after their initial project
Our screening and matching process ensures exceptional talent are matched to your precise needs.
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