Aneesha Patan Arifulla

About Aneesha Patan Arifulla

I am a Data Engineer with over 4+ years of experience building and improving ETL pipelines and cloud data warehouses. I create reliable batch and streaming data systems using tools like Apache Kafka, AWS Glue, and PySpark. I improve data workflows by tuning Snowflake and automating monitoring to reduce downtime and speed up analytics.Skills: Python | Java |DSA| SQL | R | AWS | GCP | Azure | Snowflake | Amazon Redshift | Google| BigQuery | Hadoop | Apache Spark | Tableau | Power BI | Jenkins | Git | Docker | Kubernetes | Prometheus | Grafana | Data Encryption | IAM | Apache Airflow | TensorFlow | PySpark | MySQL | SQL Server | Pandas | NumPy | Matplotlib | AgileAt Quadrant Technologies, I build and improve ETL pipelines using PySpark and Apache Airflow to support scalable data workflows. I design real-time data ingestion with Apache Kafka and AWS Glue, ensuring low latency and high availability. I set up monitoring and alerts with CloudWatch and Prometheus, which cut downtime by 30%. I build and tune Snowflake data warehouses to make queries faster and reporting easier. I combine data from different sources using Python and SQL to expand what data teams can access. I create dashboards in Tableau and Power BI that speed up report creation by 35%. I also secure cloud data by managing IAM policies and applying encryption.At Capgemini, I built ETL processes to handle large financial datasets. I improved data warehouses and lakes, cutting query times by 30%. I put in place checks to keep data accurate and meet compliance rules. I worked with analysts and finance teams to deliver clean, reliable data that made reports 25% faster. I automated workflows to reduce errors by 40% and fixed pipeline problems quickly to keep data available. I learned and used new data engineering tools to improve efficiency by 20% and lower costs.I led a project to build a data pipeline on Azure Databricks, Data Lake Gen2, and Power BI for Formula 1 data from 1950 to 2017. I improved compute efficiency by 35% through optimized cluster setup and organized raw data into bronze, silver, and gold layers using Delta Lake and Parquet. I enabled version control and auditing with Delta Lake time-travel. Additionally, I developed a cloud monitoring system that boosted service reliability by 40%. In another project, I ingested real-time news data via Bing News API into Microsoft Fabric, applied machine learning for sentiment analysis, and automated alerts for key metrics.Contact Information:Email: s••••••••@gmail.comMobile:+18•••••••75Location: United States

Experience

1. Data Engineer Python Sql Apache Spark Aws Azure Hadoop Postgresql Docker

   Quadrant Technologies

   Feb 2024 — Present · Redmond, WA, US

   Engineered scalable and fault-tolerant ETL pipelines using PySpark and Apache Airflow to automate distributed data workflows.2. Constructed robust real-time ingestion systems with Apache Kafka and AWS Glue, ensuring seamless and continuous data flow.3. Deployed comprehensive monitoring systems using CloudWatch and Prometheus, reducing data pipeline downtime by 30%.4. Optimized Snowflake data warehouse structures to enhance query execution speed and support high-volume analytical workloads.5. Scripted advanced data ingestion and transformation logic using Python and SQL to process diverse structured data formats.6. Designed responsive, interactive dashboards in Tableau and Power BI, reducing manual reporting time by 35% across teams.7. Standardized and cleansed incoming datasets to improve data accuracy and support reliable predictive modeling outcomes.8. Enforced secure IAM policies and encryption standards across AWS resources to safeguard data and meet compliance protocols.9. Partnered with cross-functional teams to define data architecture, develop ingestion logic, and align metrics with business goals.10. Audited data pipelines using Great Expectations, maintaining accuracy, consistency, and quality across critical data assets.

Education

• Sri Venkateswara College of Engineering and Technology

  Bachelor of Technology - BTech

  2015 — 2019

• SUNY New Paltz

  Master of Science - MS

  2022 — 2023