
About Me
𝗦𝗸𝗶𝗹𝗹𝘀: Data engineering, sales, data analytics, ETL, data migration, data visualization, Python, SQL, Pandas, GCP, AWS, VertexAI LLM, Databricks, Snowflake, Microsoft Excel, Salesforce, Tableau, Power Bi, DAX, Salesforce.
With more than a decade of background in data engineering, sales, and a Ph.D. in Computational Neuroscience, I approach data challenges with a research mindset, working to develop innovative solutions that bridge business needs and gaps and deliver tangible product value.
I enjoy finding the right data solution and architecture, leading teams, building data pipelines and Gen-AI solutions, understanding the client’s pain points and creating the best solution for migration, analytics, and extension of capabilities.
Some of my loves and accomplishments:
𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿/𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗲𝗮𝗱
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Solutioned and built data cleansing, data pipelines, data mapping, analytics tools, QA tests, and ETL processes.
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Increased ETL performance in SQL and Python by 80% through refactoring code.
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Utilized A/B testing to optimize conversion rates by 25%.
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Industries: fintech, education, energy, human resources, security, non-profit, life science research.
𝗦𝗮𝗹𝗲𝘀
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Promoted a $1.5M contract by identifying data gaps.
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Created close relationships with clients that led to multiple sales opportunities.
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Provide technical expertise and support during sales conversations and POCs to drive customer engagement.
𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗖𝗧𝗢, 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗖𝗼𝗺𝗽𝗮𝗻𝘆
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Architected data pipelines and analytics for a successful web service launch.
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Managed product development, team, and data infrastructure.
𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗡𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 (𝗣𝗵.𝗗.)
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Published research in top-tier journals (Science Magazine™, Neuron™, The Journal of Neuroscience™) and an academic textbook (Dendrites, 3rd Ed).
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Developed data analysis tools, visualizations, and simulations.
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Presented findings at international scientific conferences.