AswinSoftware Engineer
↓ Download PDF
SWETHA R
Data Engineer
+91 7871420012 swethaselviraj@gmail.com Puducherry, India
Nationality: Indian Date of Birth: 23 May 2003 Languages: English, Tamil

A skilled Data Engineer trained in Python, PySpark, SQL, and Azure Databricks with hands-on experience in building data pipelines and optimizing data workflows. Passionate about leveraging data engineering techniques to deliver actionable insights and support business decision-making, while continuously advancing my technical expertise and career.

Experience
Data EngineerOct 2024 – Present
Hexaware Technologies Ltd.
  • Data Engineer working on data engineering solutions using Azure Synapse Analytics, Apache Spark, PySpark, SQL, and Databricks.
  • Re-engineered SAS data steps and PROC transformations into PySpark and Spark SQL in Azure Synapse and Databricks, ensuring functional parity and schema consistency.
  • Built parameterized, modular ETL pipelines in Azure Synapse (notebooks and pipelines) integrating Azure Storage, with robust error handling, auditing, and lineage tracking.
  • Implemented rigorous data reconciliation — row counts, hash checks, variance thresholds, and business-rule validations — to guarantee zero data loss or mismatch.
  • Optimized big-data workloads via partitioning, efficient file formats (Parquet and Delta), broadcast joins, and caching to meet SLA and cost objectives in the cloud.
Projects
Real-Time Social Media Sentiment Analysis
Processed social media data from streaming APIs and CSV files in real time for sentiment analysis and actionable insights — tracking sentiment trends, user engagement, and topic popularity. Built databases for posts and sentiment scores, cleaned data with PySpark, categorized posts as positive / negative / neutral, and built a pipeline with Delta Live Tables for real-time insights. Python · MSSQL · PySpark · Azure Databricks · Google Colab
Stock Market Data Analysis
Built a data warehouse to store and analyze stock market data — prices, trading volumes, and indicators. Designed the schema, collected and cleaned data from APIs and CSV files with Python, wrote SQL queries to detect price anomalies, and built real-time PySpark pipelines to analyze market trends and indicators such as moving averages and RSI, helping detect sudden market shifts. Python · MSSQL · PySpark · Azure Databricks · Google Colab
Skills
Languages
PythonSQL
Tools & Tech
PySparkAzure DatabricksAzure SynapseAzure Data FactoryAzure Data LakeAzure DevOpsMSSQLGoogle Colab
Data Engineering
ETL pipelines, data warehousing, Delta Live Tables, workflow optimization, real-time processing
Operating Systems
Windows
Education
B.Tech, Electronics & Communication Engineering
Sri Manakula Vinayagar Engineering College, Puducherry  •  2024
Higher Secondary (12th)
Amalorpavam Hr. Sec. School, Puducherry  •  2020
SSLC (10th)
Immaculate Heart of Mary Girls Hr. Sec. School, Puducherry  •  2018
Certifications
PCEP — Certified Entry-Level Python Programmer
AZ-900 — Microsoft Azure Fundamentals