Data Engineer Analysis

Nirmala Aiswarya

Dallas, Texas +1-412-***-**** ******************@*****.*** LinkedIn

PROFESSIONAL SUMMARY

Data Engineer with 3+ years of experience building scalable ETL pipelines and implementing CDC to support robust data lake hydration. Proficient in Apache Spark, including both batch and streaming transformations, and skilled in orchestration with Airflow. Demonstrated ability in performance tuning and developing reliable, high-performance data solutions across cloud platforms.

EXPERIENCE

Eco Servant Projects Organization Data Analysis Intern Jul 2025 - Present

• Analyzed Google Analytics data from 50K+ monthly visitors, identifying engagement trends for ocean conservation campaigns, achieving a 25% increase in targeted outreach impact

• Validated 100K+ data points monthly, enhancing the reliability of campaign impact reports by 32%, supporting improved insights and reporting for stakeholder reviews

• Collaborated with stakeholders on 5 conservation-focused projects, gathering requirements, performing exploratory data analysis using Python and Pandas, and improving marketing targeting by 22%

• Documented analysis procedures, data pipelines, and workflows, supporting reproducibility, enabling knowledge transfer, and ensuring smooth onboarding of new interns to ongoing projects

• Prepared client-ready reports and presentations, clearly communicating insights to management, guiding strategic decisions on campaigns, and audience reach improvements Musigma Business Solutions Limited Decision Scientist Jan 2022 - Jul 2023

• Developed end-to-end ETL pipelines using Azure Data Factory, processing records and enhancing multi-source reporting accuracy by 35%

• Designed a Global Consolidated Power BI dashboard with advanced DAX, integrated with Azure cloud, tracking KPIs within 40 regions and contributing to a 45% improvement in reporting speed

• Constructed data workflows using Databricks, PyCharm, and Azure Data Lake Storage, leveraging Apache Spark Data Frames for batch processing to manage 10M+ records daily and decrease manual efforts by 35%

• Automated build and deployment processes via CI/CD pipelines using Azure DevOps, shortening release cycle time and accelerating project deliverables

• Optimized SQL queries and data models to improve dashboard load times by 25%, while also serving as Scrum Master to facilitate Agile ceremonies and deliver projects on schedule

Musigma Business Solutions Limited Trainee Decision Scientist Sep 2020 - Dec 2021

• Examined operational challenges and delivered data-driven insights that improved process workflows by 15%, providing strategic recommendations to senior management

• Designed A/B tests for 3 product features, guiding stakeholders to select the highest-impact variants and facilitating a 15% increase in user engagement on digital platforms

• Captured methodologies, workflows, and insights in detailed reports, ensuring consistency in analyses and facilitating clear communication with cross-functional teams and stakeholders

• Performed data cleaning and preprocessing on records, reducing inconsistencies by 35% and enhancing the reliability of insights from analytics workflows

• Created ad-hoc data marts for reporting and analytical use cases, contributing to a 20% acceleration in stakeholder insights and decreasing ETL pipeline delays by 30% Smart Bridge IBM IOT Intern May 2019 - Jul 2019

• Constructed an IoT-based poultry monitoring platform using Raspberry Pi and Arduino Uno, strengthening environmental control accuracy by 40% across controlled farm environments

• Incorporated DHT11, gas, and LDR sensors to capture temperature, humidity, and air quality metrics with 95% precision for recorded data points

• Automated fan and lighting mechanisms, leading to a 60% reduction in manual interventions and stabilizing poultry growth conditions, thereby maintaining higher consistency in livestock health

PROJECTS

Customer Analytics in Snowflake Aug 2024 - Dec 2024

• Deployed Snowflake data warehouse, enabling advanced reporting and analytics for 12M+ records monthly

• Applied Python and SQL for data transformation, exploratory analysis, and KPI tracking, improving simulated campaign planning speed by 30% and targeting accuracy by 25%

ETL Pipeline Development Jan 2024 - Apr 2024

• Engineered 10+ scalable ETL pipelines with Azure Data Factory and Apache Airflow, orchestrating continuous ingestion from on-premises and cloud sources

• Refined SQL and SSIS workflows, reducing reporting delays by 40% and enabling near real-time dashboards SKILLS

• Programming & Scripting: Python, R, SQL, Shell Scripting, Java, Scala

• Data Visualization & BI: Power BI, Tableau, Looker, QlikView, MS Excel

• Cloud Platforms & Databases: Microsoft Azure, AWS, Snowflake, Redshift, BigQuery, MongoDB

• Data Engineering & Big Data: ETL Development, Data Modeling, Apache Spark, Apache Airflow, Apache Kafka, Hadoop, Change Data Capture, Apache Hudi, Apache Griffin

• DevOps & Version Control: Git/GitHub, Jenkins, Kubernetes, CI/CD

• Data Quality & Governance: Data Validation, Data Quality Checks, GDPR, HIPAA, AWS Deequ

• Project & Agile Tools: JIRA, MS Project, Agile/Scrum

• Other Tools & Concepts: KPI Dashboards, REST API, Automation ACHIEVEMENTS

• Awarded 3 Spot Awards for exceptional performance and contributions during tenure at MuSigma: EDUCATION

University of North Texas Aug 2023 - May 2025

Master of Science, Information Systems and Technology Jawaharlal Technological University Jul 2016 - Aug 2020 Bachelor of Technology, Information Technology

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