Pushkar Hedau

Data Engineer

Pune, Maharashtra, India2 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable data pipelines and architectures.
Proficient in Snowflake and dbt for data transformation.
Strong analytical skills with a focus on actionable insights.

Stackforce AI infers this person is a Data Engineer specializing in scalable data solutions within the SaaS industry.

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Skills

Core Skills

Data EngineeringEtl/eltAnalyticsData GovernanceData Analytics

Other Skills

SnowflakeSQLdbt CloudPythonTerraformGoogle Cloud StorageAirflowData ModelingSigmaDomoTableauSigma Business Analytics SoftwareSnowflake StagesQuerying Staged DataFile Formats

About

As a data engineer, I specialize in designing, building, and maintaining scalable data infrastructure that supports efficient data processing and analysis. I have extensive experience in optimizing data pipelines, ensuring seamless data flow across systems, and enabling organizations to derive actionable insights from large datasets. Throughout my career, I’ve developed a strong focus on creating reliable and efficient data architectures that ensure data availability, quality, and security. I excel at working with various data sources, transforming raw data into structured formats, and automating data workflows to improve operational efficiency. As a dedicated learner, I continually enhance my skills to stay ahead of industry trends and emerging technologies. Whether working independently or in a collaborative team environment, I am committed to delivering high-quality data solutions that provide lasting value to organizations and stakeholders.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Diacto technologies

Associate Data Analyst

Jul 2023 – Present · 2 yrs 9 mos · Pune, Maharashtra, India · Hybrid

As a Data Engineer, I design and deliver scalable data pipelines, cloud solutions, and BI reporting frameworks using Snowflake, Sigma, and Domo. I work closely with business teams to transform raw data into actionable insights for decision-making.
Snowflake engineering: Built and optimized Snowflake schemas, tables, and row access policies; automated data ingestion pipelines from GCS into Snowflake; implemented transformations with dbt and Python for analytical consumption.
Analytics & BI: Partnered with stakeholders to develop dashboards in Domo and Sigma, providing visibility into sales, performance, and market KPIs across regions.
ETL & automation: Automated workflows with Airflow and Python, enabling seamless data ingestion, validation, and conversion into business-ready datasets.
Key projects delivered:
Nielsen Data Project (FMCG domain) – Built end-to-end ETL pipelines on Nielsen datasets, creating dbt Cloud models and automated workflows with Airflow to streamline ingestion and transformation. Improved reporting reliability and time-to-insight.
Supply Chain Analytics Project – Developed data models and automated ETL pipelines in Snowflake using dbt Cloud, and created interactive dashboards in Sigma to monitor supply chain KPIs, improving visibility and operational efficiency.
Data Governance Project – Enhanced compliance and security by implementing Snowflake Row Access Policies, ensuring controlled, role-based data visibility across sensitive datasets.
Election Data Analytics (Media/News) – Processed XML election datasets and built dashboards in Domo, enabling real-time candidate performance tracking for political coverage.
Skills: Snowflake, SQL, dbt Cloud, Python, Terraform, Google Cloud Storage, Airflow, Data Modeling, ETL/ELT, Sigma, Domo, Tableau.