Anandnarayanan S

Data Engineer

Chennai, Tamil Nadu, India3 yrs 8 mos experience

Key Highlights

Achieved near-perfect data precision in complex datasets.
Accelerated onboarding for multiple countries, enhancing visibility.
Expert in SQL with a focus on interview preparation.

Stackforce AI infers this person is a Data Engineering expert with a strong focus on Azure technologies.

Contact

anand.narayanan@tredence.com LinkedIn

Skills

Core Skills

Data EngineeringSqlData Analytics

Other Skills

ADLSAmazon Web Services (AWS)Analytical SkillsAngularJSApache KafkaApache SparkAzure Data EngineerAzure Data FactoryAzure Data LakeAzure DatabricksAzure DevOps ServicesAzure dataAzure synapse analyticsBig DataCopy Paste from Google

About

👋Hi Friend! 🔥If you see me in a fight with a bear, pray for the bear. ✅ I'm Anand, an Unrealistically Optimistic guy with a Growth Mindset. 🤯 I once struggled with SQL. 😎 Now I help people crack SQL interviews faster by teaching patterns I discovered the hard way [FREE]. 📩 DMs open for questions, feedback, and referrals (260+). 🎁 Bonus belief: If you were 20 failures away from everything you wanted, how fast would you fail? 🔥My fav motivational quote of all time. 👉 "Eat 5 star. Do nothing" 📩 anandsirius1@gmail.com

Experience

3 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr

Current Experience

Tredence inc.

Data Engineer

Jun 2025 – Present · 1 yr · Chennai, Tamil Nadu, India · Hybrid

Azure Data Engineer | Mentored by Ankit Bansal (SQL)

Azure Data EngineerSQLData Engineering

Kaartech

2 roles

Associate Data Engineer

Jun 2023 – Jun 2025 · 2 yrs · Chennai, Tamil Nadu, India

Azure Data Engineer
𝗖𝗹𝗶𝗲𝗻𝘁 𝗔𝗽𝗽𝗿𝗲𝗰𝗶𝗮𝘁𝗶𝗼𝗻𝘀 -
🚀 Commended for delivering near-perfect data precision (approx. 0.00000001% discrepancy) in CMUs of US countries; praised as an "incredible achievement" for ensuring negligible discrepancies.
🚀 Earned praise for accelerating data onboarding of 10+ countries and exceeding expectations by delivering a high volume of country market units (CMUs) ahead of schedule; appreciated for enhancing business visibility and shortening delivery timelines by 30% through fast and effective execution.

Azure Data EngineerData PrecisionData OnboardingData EngineeringData Analytics