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Data Management Engineer with 8+ years of experience in building enterprise data solutions, ETL/ELT pipelines, and AI/ML integrations. My expertise spans data modeling (conceptual, logical, physical), data governance, and quality frameworks, with strong hands-on skills in AWS (Glue, Redshift, Kinesis, EMR, Lake Formation), dbt, and SQL/Python.
I have delivered projects across healthcare, finance, manufacturing, HR/payroll, and smart city domains, designing data platforms that support advanced analytics, real-time processing, and compliance with data privacy laws (DPDP, GDPR).
With a Master of Philosophy in Computer Applications, I bring both technical depth and enterprise systems knowledge (ERP, CRM, HR, Payroll), bridging data engineering with business process optimization to drive scalable, secure, and insight-driven solutions.
I have delivered projects across healthcare, finance, manufacturing, HR/payroll, and smart city domains, designing data platforms that support advanced analytics, real-time processing, and compliance with data privacy laws (DPDP, GDPR).
With a Master of Philosophy in Computer Applications, I bring both technical depth and enterprise systems knowledge (ERP, CRM, HR, Payroll), bridging data engineering with business process optimization to drive scalable, secure, and insight-driven solutions.
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28 Beiträge
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3 Fotos
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Videos
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Data Engineer / Full Stack Developer als Santhila Databot Private Ltd, Erode
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Lebt in Erode
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Von Erode
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Von 2005-2006 Computer Application als Bharathiar UniversityKlasse von Master of Philosophy in Computer Application
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Female
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08/16/1988
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Follower 5 Menschen
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My Industry Domain includes
Banking, Industrial, Healthcare -
Skills/My Expertise includes (List your skills, e.g., Full-Stack Development, Cybersecurity, or Business Analytics.)
Data Engineering, AI/ML, Data Modeling, Governance, Tableau/Power BI, Backend & Frontend, SQL/NoSQL DBs. -
Profile Type
Professional & Student, Business & Organization
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Your Current Bandwidth
Full-time(40 Hours per week)
Neueste Updates
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2026-05-09 05:22:25The next wave of AI engineering is not only about prompting LLMs.
It’s about building fast, scalable, secure AI systems.
And Rust is entering that conversation faster than many expected.The next wave of AI engineering is not only about prompting LLMs. It’s about building fast, scalable, secure AI systems. And Rust is entering that conversation faster than many expected.0 Kommentare 0 Geteilt 0 Ansichten 0 Bewertungen 0 ReaktionenBitte loggen Sie sich ein, um liken, teilen und zu kommentieren! -
2026-05-08 13:11:28Rust + AI Performance:
Everyone talks about Python for AI.
But when inference speed, memory safety, and low latency matter, Rust becomes seriously powerful.
Rust is quietly becoming the backbone for:
AI inference engines
Vector databases
GPU runtimes
LLM serving systems
High-performance APIs
Safe concurrency + zero-cost abstractions = perfect match for modern AI infrastructure.
The future of AI may still use Python for training, but Rust is becoming the engine underneath.Rust + AI Performance: Everyone talks about Python for AI. But when inference speed, memory safety, and low latency matter, Rust becomes seriously powerful. Rust is quietly becoming the backbone for: AI inference engines Vector databases GPU runtimes LLM serving systems High-performance APIs Safe concurrency + zero-cost abstractions = perfect match for modern AI infrastructure. The future of AI may still use Python for training, but Rust is becoming the engine underneath.0 Kommentare 0 Geteilt 0 Ansichten 0 Bewertungen 0 Reaktionen -
2026-03-26 11:40:435 things every founder should know about AI in 2026:
1. RAG > Fine-tuning for most use cases
2. Prompt engineering is still a skill
3. LLMs hallucinate — always validate outputs
4. AI agents are real now, not just hype
5. Your data moat matters more than the model
#AI #Founders #BuildInPublic5 things every founder should know about AI in 2026: 1. RAG > Fine-tuning for most use cases 2. Prompt engineering is still a skill 3. LLMs hallucinate — always validate outputs 4. AI agents are real now, not just hype 5. Your data moat matters more than the model #AI #Founders #BuildInPublic0 Kommentare 0 Geteilt 302 Ansichten 0 Bewertungen 0 Reaktionen -
2025-09-05 09:07:04Data is the new fuel — but only if it’s transformed into actionable insights. My work spans across data engineering (ETL/ELT, AWS Glue, dbt, Airflow), AI/ML (predictive modeling, NLP, computer vision), and cloud platforms (AWS, Snowflake, Redshift). I focus on building scalable, secure, and intelligent data systems that drive real impact across e-commerce, banking, industrial, and healthcare domains. Excited to connect with professionals, freelancers, and innovators who are passionate about data-driven solutions and future-ready technologies.
#DataEngineering #AI #CloudComputing #MachineLearning #InnovationData is the new fuel — but only if it’s transformed into actionable insights. My work spans across data engineering (ETL/ELT, AWS Glue, dbt, Airflow), AI/ML (predictive modeling, NLP, computer vision), and cloud platforms (AWS, Snowflake, Redshift). I focus on building scalable, secure, and intelligent data systems that drive real impact across e-commerce, banking, industrial, and healthcare domains. Excited to connect with professionals, freelancers, and innovators who are passionate about data-driven solutions and future-ready technologies. #DataEngineering #AI #CloudComputing #MachineLearning #Innovation
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0 Kommentare 0 Geteilt 876 Ansichten 0 Bewertungen 2 Reaktionen -
2025-09-05 09:03:36From developing payroll & HR systems for textile firms to building real-time data hubs for smart cities, my journey in software development has evolved into data engineering and AI/ML integration. Currently at Santhila DataBot, I’m working on scalable pipelines in AWS + Snowflake + Redshift, and exploring advanced analytics. Looking forward to connecting with peers in e-commerce, banking, industrial, and healthcare domains.From developing payroll & HR systems for textile firms to building real-time data hubs for smart cities, my journey in software development has evolved into data engineering and AI/ML integration. Currently at Santhila DataBot, I’m working on scalable pipelines in AWS + Snowflake + Redshift, and exploring advanced analytics. Looking forward to connecting with peers in e-commerce, banking, industrial, and healthcare domains.
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0 Kommentare 0 Geteilt 639 Ansichten 0 Bewertungen 2 Reaktionen
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