Data Analyst Engineer

Sindhu Sundararajan

+1-682-***-**** ***********@*****.*** LinkedIn GitHub

Data Analyst Analytics Engineer Data Engineer GTM Marketing & Finance PROFESSIONAL SUMMARY

Data Analyst with 5+ years of experience across SaaS, marketing, and finance, delivering insights that improve customer journeys, GTM execution, and product performance. Expert in SQL, Python, Tableau, and Snowflake with growing expertise in dbt, Airflow, and Segment. Adept at building ETL pipelines, optimizing CRO funnels, enabling self-serve analytics, and driving data governance. Skilled in collaborating cross-functionally with Sales, Marketing, and Engineering teams to align data infrastructure with business goals.

SKILLS & CERTIFICATIONS

● Programming: SQL, Python, R

● Visualization: Tableau, Power BI, Looker, Excel, Sigma(Upskilling)

● Data Engineering: ETL/ELT (Airflow, dbt), Spark, Snowflake, Redshift, Databricks, DynamoDB, Segment

● Analytics & Modeling: A/B Testing, Funnel Analysis, CRO, Cohort Analysis, KPI Tracking, Forecasting, Campaign ROI

● Cloud Platforms: AWS, Azure

● Data Modeling & Warehousing: Dimensional Modeling, Data Governance

● Tools & Platforms: Git, Docker, Terraform, Jupyter Notebooks, Visio, Grafana, Salesforce

● Certifications: Google Analytics GA4 Certification, HubSpot Inbound Marketing Certification, Microsoft Azure Fundamentals (AZ-900), AWS Certified Solutions Architect – Associate, PMP UC-Irvine WORK EXPERIENCE

Data Analyst Cloud & Data Strategy Sep 2024 – Present Community Dream Foundation Irving, TX

● Diagnosed funnel friction via drop-off and cohort analysis, improving conversion by 10%.

● Automated GTM reporting pipelines in Python & Airflow, cutting data refresh time by 30%.

● Built scalable Tableau dashboards to track KPIs across Sales, CX, and Marketing.

● Partnered with Engineering to align Segment tracking, boosting downstream data quality. Business Analyst IT & Regulatory Compliance Jul 2023 – Dec 2023 New York State Office-ITS Albany, NY

● Developed interactive Tableau dashboards for compliance reporting, enhancing visibility of state KPIs.

● Translated stakeholder requirements into scalable tracking specs and reporting frameworks. Data Analyst Financial & Business Intelligence Apr 2019 – Sep 2022 Cognizant Technology Solutions Chennai, India

● Managed GTM analytics and built SQL-Tableau dashboards to track campaign ROI, segmentation, and spend efficiency.

● Created automated pipelines in Snowflake + Segment to unify metrics across Sales, Marketing, and CX.

● Conducted A/B & multivariate testing, increasing conversion by 12% and re-engagement by 9%.

● Streamlined data schema and standardization processes, resolving 90% of reporting discrepancies.

● Built real-time KPI dashboards in Sigma, reducing sales reporting latency and increasing adoption.

● Mentored 5+ junior analysts on data storytelling and ETL pipeline.

● Developed QA processes for dashboards, reducing GTM reporting errors by 25%.

● Built and optimized modular dbt models to transform raw data into reusable datasets, reducing dashboard load time by 40%.

● Designed and documented schema maps and data lineage to streamline traceability and analyst onboarding.

● Developed SQL checks to proactively flag data anomalies and maintain pipeline integrity.

● Partnered with engineers to enforce Snowflake RBAC, enhancing data security.

● Created parameterized Tableau dashboards with drill-down features for multi-dimensional reporting.

● Managed batch and incremental ETL logic within Airflow DAGs to streamline ingestion from CRM and third-party APIs.

● Conducted cross-functional data audits, identifying 25+ sources of redundancy and reducing storage usage by 15%.

● Implemented alerting logic in Airflow & Slack to notify stakeholders of data freshness issues.

● Analyzed Snowflake usage logs to retire 30% of underused assets and optimize performance.

● Translated business logic into scalable SQL solutions in collaboration with backend teams.

● Version-controlled dbt and Airflow pipelines using Git workflows and code reviews to support CI/CD.

● Reduced data quality job time from 190 to 9 minutes by optimizing Apache Spark jobs using MySQL connection pooling. EDUCATION

Northeastern University Sep 2022 – Jul 2024

MS in Data Analytics (Specialization: Applied Machine Intelligence) Boston, MA Anna University Sep 2014 – May 2017

B.E in Computer Science Tiruchirappalli, India

ACADEMIC PROJECTS

Project: Predict Product Buying Patterns

● Tech Used: AWS, S3, DynamoDB, Python, SQL

● Applied K-Means Clustering and Market Basket Analysis to segment customers and identify product bundling opportunities.

● Created a reusable segmentation pipeline in Python to support yearly updates using new sales data.

● Delivered insights to inform loyalty campaigns, digital offers, and retention strategies. Project: AI-Powered Investment Portfolio Optimization

● Tech Used: Python, SQL, PostgreSQL, Snowflake, Power BI, Pandas, Matplotlib, Streamlit, Docker

● Developed end-to-end data pipeline integrating PostgreSQL, Snowflake & Power BI to automate stock trend analysis.

● Implemented risk-return analytics & visualizations, improving investment decision insights by 35%.

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