Data Analyst/Engineer

ANU BAIRI

Ph: 508-***-**** *************@*****.*** Linkedin Worcester, MA

Data Analyst /Engineer

Professional Summary

Data Analyst / Engineer with 4 years of experience in enterprise data systems, with a focus on data governance, data quality, and reporting automation. Proficient in SQL and Python for developing scalable pipelines, validating critical data elements, and driving catalog completeness. Experienced in collaborating with business and technology teams to ensure accurate data lineage, metadata management, and business data modeling across cross-functional domains. Passionate about delivering clean, trusted data for investment and analytics use cases. Experienced in developing analytics solutions in hybrid work environments, combining structured data processing, dashboard reporting, and predictive modeling for business performance analysis.

Technical Skills

Programming & Scripting Languages: SQL(MySQL, PostgreSQL), Python (pandas, PySpark)

Data Engineering & ETL Tools: Apache Spark, Databricks

Data Warehousing & Big Data: Azure Synapse Analytics, Snowflake

Cloud Platforms: Microsoft Azure, AWS

Databases: PostgreSQL, MySQL

Workflow Orchestration & Automation: GitHub Actions

Version Control & DevOps: Git, CI/CD pipelines

Business Intelligence & Reporting: Tableau, Power BI

Development Tools: Jupyter Notebooks, VS Code

QA & Testing: Data validation, SQL-based test cases, manual QA for ETL workflows

Professional Experience

Tangensis, Remote Mar 2025 to Present

Role: Data Engineer

Responsibilities:

Analyzed and organized raw data from multiple sources, supporting business-critical reporting and analytics needs. Designed and optimized SQL-based data pipelines supporting accurate delivery of investment KPIs and operational reports

Partnered with data stewards and business stakeholders to define and validate critical data elements across data domains

Contributed to catalog completeness and metadata maintenance by documenting data definitions, usage rules, and business lineage

Interpreted business rules from stakeholders and implemented transformations using SQL and Python in Databricks

Ensured traceability and data quality through rigorous profiling, validation logic, and source-to-target mapping

Developed analytical tools and dashboards using Power BI and Tableau to visualize KPIs and support decision-making.

Designed and developed Power BI dashboards for cross-functional teams using complex calculated columns, DAX, and drill-through navigation to support ad-hoc and ongoing reporting needs.

Identified and resolved data quality issues, improving reporting accuracy and eliminating inconsistencies in production datasets.

Performed advanced analytics using SQL and Power BI to generate predictive insights and business KPIs, helping streamline operations and support strategic decision-making.

Partnered with business stakeholders to translate business objectives into technical solutions using SQL, Python, and BI tools.

Assisted in preparing data for predictive modeling and reporting, supporting data scientists and architects on key initiatives.

Maintained documentation of data workflows and created SQL-based test cases to support internal data auditing.

OnPoint Insights, Remote Jul 2024 to Feb 2025

Role: Data Analyst

Responsibilities:

Collected, cleaned and organized datasets using Excel, Python to ensure accuracy and project readiness.

Supported a healthcare-focused project by writing SQL queries to extract, analyze and integrate relevant data.

Maintained data integrity through validation checks and consistent data formatting.

Proactively continued developing SQL proficiency and stayed updated with modern data analysis trends and tools.

Worked with cross-functional teams to translate data requirements into structured reports and data dictionaries.

Maintained data workflows and supported data governance goals through lineage documentation and version tracking.

Performed exploratory data analysis (EDA) to identify patterns, trends and anomalies in large healthcare datasets.

Ensured completeness and accuracy of reporting datasets by standardizing data validation checks.

Collaborated with stakeholders to gather data requirements and present actionable insights through structured reports.

Built dynamic Excel reports with pivot tables, nested formulas, macros, and charts to support operations, financial reporting, and performance tracking.

Automated recurring ETL tasks to improve data availability for analytics and model reporting.

Collaborated with IT to build automated pipelines and create scalable solutions using APIs and SQL to support data ingestion and reporting.

HCL Technologies, Chennai, India May 2021 to Dec 2023

Role: Junior Data Analyst

Responsibilities:

Assisted in collecting, cleaning, and preparing datasets from internal databases, Excel files, and external sources for analysis.

Wrote and optimized basic SQL queries to extract data for routine reports and ad-hoc business needs.

Supported the creation of interactive dashboards and performance reports using Tableau, Power BI, and Excel to visualize key business metrics.

Conducted exploratory data analysis (EDA) to uncover data trends, inconsistencies, and actionable insights for business teams.

Collaborated with senior analysts to define data requirements and align reporting metrics with business goals.

Documented data transformation steps, business logic, and reporting processes to ensure reproducibility and clarity for stakeholders.

Created visualizations and charts that communicated insights clearly to non-technical stakeholders.

Created SQL-based validation scripts to ensure data quality and accuracy in reporting workflows

Supported metadata enrichment and documentation as part of internal reporting standardization

Automated repetitive reporting tasks using Excel macros and Python scripts, reducing manual work and increasing efficiency.

Participated in cross-functional meetings to support strategic discussions with data-driven inputs.

Netrich IT Solutions, Hyderabad, India Oct 2020 to Feb 2021

Role: Python Data Engineer Intern (Django)

Responsibilities:

Started this internship during end of my Third year of undergrad to gain hands-on experience with Python and web development in the field of Data Engineering.

Learned and worked with Django to build basic web app features like forms, user login, and data storage using PostgreSQL.

Helped create and test simple CRUD (Create, Read, Update, Delete) operations for an internal tool used by the company.

Collaborated with the team to fix bugs and debug issues using Postman and browser tools.

Gained exposure to version control using Git and contributed to the codebase through small commits and code reviews.

Education:

Master of Science in Information Technology Clark University May 2024

Relevant Coursework: Data Mining, Business Intelligence, Database Management Systems

Bachelor of Technology in Electronics and Communication Engineering Jul 2022

Malla Reddy Institute of Technology

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