Sandhya Avineni
Capgemini| Ex-Microsoft | Data scientist |Data Bricks Certified Gen AI Engineer Associate |SQL,ETL| Microsoft Azure Certified | Python | AWS | Cloud Specialist|
- Role
- Data Scientist at Capgemini
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Sandhya Avineni
Senior Data Scientist & Gen AI Engineer 5 + Years of End-to-End Data & Analytics ExperienceA results-driven data professional with over 5 years in IT, delivering scalable data engineering and business intelligence solutions. Proven ability to architect cloud-native ETL workflows, optimize data pipelines, and create powerful dashboards that drive strategic decisions. Adept at bridging engineering with analytics to transform raw data into high-impact insights. Technical Toolkit Languages & Frameworks: Python, SQL, PySpark, Apache Spark, Hadoop Cloud Platforms: AWS (S3, Glue, Redshift, Lambda), Azure (ADF, Databricks, Synapse), GCP BI Tools: Power BI, Tableau, Looker, Excel Databases: Oracle, Snowflake DevOps & Tools: Git, Apache Airflow, Jupyter, Kafka Business Intelligence Engineering Highlights Designed & delivered interactive dashboards in Power BI and Tableau for KPIs, financial metrics, and operational visibility Automated manual reports—reducing effort by 60% with dynamic BI pipelines Built data models and OLAP cubes for enterprise-grade reporting Collaborated with cross-functional teams to drive data-informed business strategies🧱 Data Engineering Achievements Developed and deployed ETL pipelines in Azure Databricks—boosted processing speed by 40% Optimized PySpark and SQL workflows—cut data latency by 50% at Enquero Built Kafka + Spark Streaming pipelines—enhanced real-time processing by 30% at Carelon Migrated legacy systems to AWS Cloud—reduced infra cost by 20%, improved accessibility Engineered healthcare data solutions—cut processing time by 50% using Python/PySpark Mentored 4 junior engineers—increased team productivity by 40% Domain Experience Finance | Retail | Healthcare & Insurance |Tele Communications Adaptable across industries, with deep understanding of domain-specific data challenges Why Work With Me?I bring a hybrid edge—deep engineering expertise paired with analytical thinking. Whether it’s building robust data lakes or delivering C-level dashboard insights, I create end-to-end solutions that enable smarter, faster business decisions. Let’s Connect!I’m passionate about building intelligent, scalable data solutions that transform businesses. Reach out: a••••••••@gmail.com
Experience
Data Scientist
Sep 2025 — Present · NY, US
Education
Siddharth Institute of Engineering & Technology, Puttur
Bachelors of technology, Computer Science
Saint Peter's University
Data science, Data science
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