Aniket Gharate

Data Engineer

Mumbai, Maharashtra, India2 yrs 10 mos experience

Key Highlights

Expert in building end-to-end ETL pipelines on Azure.
Proven experience in large-scale data migration projects.
Strong background in data warehousing and business intelligence.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and ETL processes.

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Skills

Core Skills

Data EngineeringEtl

Other Skills

DatabricksGCPMedallion frameworkADLSPower BIAzure SynapseMicrosoft FabricSparkPySparkBigQueryAirflowPythonSQLFlaskMySQL

About

I am an Azure Data Engineer with 4+ years of experience specializing in end-to-end data Solutions, Migration including data engineering, warehousing, ETL, and business intelligence. Core Specializations: ✔️ Building End to End ETL Pipeline Using Azure Cloud Tools. ✔️ Building the migration process from GCP to Databricks, Synapse to Azure Databricks, on-premise systems to Synapse dedicated SQL pool, APIs to OneLake in Microsoft Fabric, and data warehouses to Snowflake ✔️ Building data warehouses using modern cloud platforms and technologies. ✔️ Automating data pipelines and ETL processes ✔️ Data cleaning, processing, and developing machine learning models ✔️ Data strategy advisory and technology recommendations Technologies: ☁️ Cloud: Azure, GCP, AWS, Microsoft Fabric ☁️ Cloud Tools: Azure Data Factory, Synapse Analytics, Databricks, Data Lake, Azure DevOps, Azure Key Vault, Azure Active Directory, BigQuery, Airflow, AWS Glue, OneLake Lakehouse 💬 Languages: Python, SQL, PySpark, SparkSQL ⚙️ Big Data Technologies: Apache Spark, Delta Tables, Kafka, Hadoop 👨‍💻 Databases: SQL Server, Oracle, Unity Catalog, Azure SQL Database, Synapse Analytics, Snowflake, Redshift ⚙️ Integration/ETL: Azure Data Factory, AWS Glue 📊 BI/Visualization: Power BI, Excel 🤖 Machine Learning: Jupyter Notebook, Pandas, NumPy, Statistics If you're looking for a data engineer who can harness the power of cloud platforms, optimize workflows, and deliver impactful results, let’s connect. Together, we can build data-driven solutions that empower businesses to thrive in the digital age.

Experience

2 yrs 10 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 2 mos

Current Experience

Exponentia.ai

Data Engineer

Apr 2025 – Present · 1 yr 2 mos · Mumbai, Maharashtra, India

EDW - EDP Migration : ADANI GROUP
Led migration of large-scale enterprise data platform from GCP to Databricks, redesigning architecture using Medallion framework (Landing → Bronze → Silver → Gold).
Engineered end-to-end data pipelines ingesting SAP data pushed daily to ADLS, handling multi-business server segregation with millions of records across Procurement, Inventory, and Finance domains.
Built scalable transformation framework: implemented deduplication, cleansing, and developed an ER model layer to optimize complex stored procedure joins into consolidated analytical tables.
Automated data workflows using Databricks Jobs & Pipelines, ensuring reliable scheduling, monitoring, and production-grade performance.
Designed Gold layer with optimized stored procedures (insert-overwrite strategy) enabling seamless consumption by Power BI reporting teams.
Implemented Databricks CI/CD for version control and production deployments, improving release efficiency and reducing manual effort.

DatabricksGCPMedallion frameworkADLSPower BIData Engineering+1

Bizmetric

Software Engineer

Aug 2023 – Apr 2025 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

Developed and maintained ETL pipelines using Databricks, Azure Synapse, Microsoft Fabric, and GCP to support large-scale data migration and transformation projects
Designed and implemented robust data ingestion and audit frameworks to orchestrate and monitor end-to-end workflows efficiently
Optimized big data processing using Spark and PySpark for improved performance and reduced resource consumption
Worked across multiple domains including Asset Management, News Media, Finance, Healthcare, and Banking to deliver tailored data solutions for business needs
Ensured data quality, reliability, and scalability through best practices in data engineering and cloud integration
Collaborated with cross-functional teams to translate business requirements into technical specifications and scalable pipelines
Enabled downstream analytics and reporting by transforming raw data into structured formats for BI tools and dashboards

DatabricksAzure SynapseMicrosoft FabricGCPSparkPySpark+2

Aprg tech pvt ltd

Associate

Nov 2021 – Jul 2023 · 1 yr 8 mos · Remote

Worked on GCP BigQuery and Airflow DAGs for ETL development, leveraging Python, SQL, and PySpark to build scalable data pipelines.
Designed and optimized workflows for efficient data transformation and loading across cloud environments.

GCPBigQueryAirflowPythonSQLPySpark+1

Technogeeks

Intern

Jun 2021 – Nov 2021 · 5 mos · Pune District, Maharashtra, India · On-site

Worked as a trainee, gaining hands-on experience in Python development and SQL for data analysis and automation tasks.
Assisted in building scripts and queries to support data processing and reporting workflows.

PythonSQL