Mahima T. — Data Engineer

TLDR; Data Engineer (3yrs) Big Data💙 ☁️AWS, Databricks, Snowflake layers. Making data pipelines faster, smarter.Predictive modeling researcher. Open to impactful data projects! curious? Let's chat 🚀 Versatile ,driven Data Engineer with years of exploring , converting raw data into meaningful insights. I’m an ever-ready experimenter and collaborative architect of impactful data solutions, constantly exploring what’s possible. Seeking a team that nurtures growth and values fresh perspectives in data innovation 🔎 . 🧰Tech Toolkit Highlights: ⚡Code: Python (pyspark, pandas), SQL - Clean, performant code for data manipulation and insights. ☁️ Cloud Platforms (AWS & Azure): Proficient in AWS (Glue, Redshift, EMR, Kinesis) and Azure (Data Factory, Synapse) 🔎Data Engineering Suite: Databricks , Apache Spark ✨, Snowflake ❄️, Delta Lake , Apache Iceberg , Airflow - Orchestration ⚙️ , data warehousing , and lakehouse architectures :building and managing high-performance data infrastructure and pipelines for both streaming and batch data workflows. 🔥 Key Impacts : 💡Performance Enhancement: Accelerating Data Pipeline Efficiency ⏱️ : Optimized critical data migration processes, slashing processing times and significantly reducing resource consumption. Fueling for both batch and near real-time data flows. 👩‍💻 ⚡ 🎓Research Quest : Authored 5 peer-reviewed research papers 🤓 on predictive modeling and machine learning applications in healthcare analytics, that showcase a blend of practical data science skills with some research-backed insights . ( some citations say , yay !). 🔬 🏗️ Dynamic and Collaborative : Thrive in challenging and innovative team environments, Seeking an environment where I can leverage my skills to build exceptional data solutions that make a real difference. 🤝

Stackforce AI infers this person is a Data Engineering specialist with a focus on SaaS and Healthcare analytics.

Location: Bangalore Urban, Karnataka, India

Experience: 4 yrs 4 mos